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1. E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling

Author

Li, Yunyang, Huang, Lin, Ding, Zhihao, Wang, Chu, Wei, Xinran, Yang, Han, Wang, Zun, Liu, Chang, Shi, Yu, Jin, Peiran, Zhang, Jia, Gerstein, Mark, and Qin, Tao

Subjects
Computer Science - Machine Learning, Condensed Matter - Materials Science
Abstract

Equivariant Graph Neural Networks (EGNNs) have demonstrated significant success in modeling microscale systems, including those in chemistry, biology and materials science. However, EGNNs face substantial computational challenges due to the high cost of constructing edge features via spherical tensor products, making them impractical for large-scale systems. To address this limitation, we introduce E2Former, an equivariant and efficient transformer architecture that incorporates the Wigner $6j$ convolution (Wigner $6j$ Conv). By shifting the computational burden from edges to nodes, the Wigner $6j$ Conv reduces the complexity from $O(|\mathcal{E}|)$ to $ O(| \mathcal{V}|)$ while preserving both the model's expressive power and rotational equivariance. We show that this approach achieves a 7x-30x speedup compared to conventional $\mathrm{SO}(3)$ convolutions. Furthermore, our empirical results demonstrate that the derived E2Former mitigates the computational challenges of existing approaches without compromising the ability to capture detailed geometric information. This development could suggest a promising direction for scalable and efficient molecular modeling.

Published
2025

2. GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation

Author

Zhou, Ziang, Ding, Zhihao, Shi, Jieming, Li, Qing, and Shen, Shiqi

Subjects
Computer Science - Machine Learning, Computer Science - Social and Information Networks
Abstract

Graph Neural Networks (GNNs) are fundamental to graph-based learning and excel in node classification tasks. However, GNNs suffer from scalability issues due to the need for multi-hop data during inference, limiting their use in latency-sensitive applications. Recent studies attempt to distill GNNs into multi-layer perceptrons (MLPs) for faster inference. They typically treat GNN and MLP models as single units for distillation, insufficiently utilizing the fine-grained knowledge within GNN layers. In this paper, we propose TINED, a novel method that distills GNNs to MLPs layer-wise through Teacher Injection with fine-tuning and Dirichlet Energy Distillation techniques. We analyze key operations in GNN layers, feature transformation (FT) and graph propagation (GP), and identify that an FT performs the same computation as a fully-connected (FC) layer in MLPs. Thus, we propose directly injecting valuable teacher parameters of an FT in a GNN into an FC layer of the student MLP, assisted by fine-tuning. In TINED, FC layers in an MLP mirror the order of the corresponding FTs and GPs in GNN. We provide a theoretical bound on the approximation of GPs. Moreover, we observe that in a GNN layer, FT and GP operations often have opposing smoothing effects: GP is aggressive, while FT is conservative, in smoothing. Using Dirichlet energy, we design a DE ratio to quantify these smoothing effects and propose Dirichlet Energy Distillation to distill these characteristics from GNN layers to MLP layers. Extensive experiments demonstrate that TINED achieves superior performance over GNNs and state-of-the-art distillation methods under various settings across seven datasets. The code is in supplementary material., Comment: 14 pages

Published
2024

3. RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction

Author

Ding, Zhihao, Zhang, Ting, Li, Yiran, Shi, Jieming, and Zhang, Chen Jason

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Organic Solar Cells (OSCs) are a promising technology for sustainable energy production. However, the identification of molecules with desired OSC properties typically involves laborious experimental research. To accelerate progress in the field, it is crucial to develop machine learning models capable of accurately predicting the properties of OSC molecules. While graph representation learning has demonstrated success in molecular property prediction, it remains underexplored for OSC-specific tasks. Existing methods fail to capture the unique structural features of OSC molecules, particularly the intricate ring systems that critically influence OSC properties, leading to suboptimal performance. To fill the gap, we present RingFormer, a novel graph transformer framework specially designed to capture both atom and ring level structural patterns in OSC molecules. RingFormer constructs a hierarchical graph that integrates atomic and ring structures and employs a combination of local message passing and global attention mechanisms to generate expressive graph representations for accurate OSC property prediction. We evaluate RingFormer's effectiveness on five curated OSC molecule datasets through extensive experiments. The results demonstrate that RingFormer consistently outperforms existing methods, achieving a 22.77% relative improvement over the nearest competitor on the CEPDB dataset., Comment: 12 pages, 4 figures. This is the extended version of the paper accepted at AAAI 2025, which includes all technical appendices and additional experimental details

Published
2024

4. Fabrication of Spin-1/2 Heisenberg Antiferromagnetic Chains via Combined On-surface Synthesis and Reduction for Spinon Detection

Author

Su, Xuelei, Ding, Zhihao, Hong, Ye, Ke, Nan, Yan, KaKing, Li, Can, Jiang, Yifan, and Yu, Ping

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science, Physics - Chemical Physics, Quantum Physics
Abstract

Spin-1/2 Heisenberg antiferromagnetic chains are excellent one-dimensional platforms for exploring quantum magnetic states and quasiparticle fractionalization. Understanding its quantum magnetism and quasiparticle excitation at the atomic scale is crucial for manipulating the quantum spin systems. Here, we report the fabrication of spin-1/2 Heisenberg chains through on-surface synthesis and in-situ reduction. A closed-shell nanographene is employed as a precursor for Ullman coupling to avoid radical fusing, thus obtaining oligomer chains. Following exposure to atomic hydrogen and tip manipulation, closed-shell polymers are transformed into spin-1/2 chains with controlled lengths by reducing the ketone groups and subsequent hydrogen desorption. The spin excitation gaps are found to decrease in power-law as the chain lengths, suggesting its gapless feature. More interestingly, the spinon dispersion is extracted from the inelastic spectroscopic spectra, agreeing well with the calculations. Our results demonstrate the great potential of fabricating desired quantum systems through a combined on-surface synthesis and reduction approach.

Published
2024
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5. Large Language Models are In-Context Molecule Learners

Author

Li, Jiatong, Liu, Wei, Ding, Zhihao, Fan, Wenqi, Li, Yuqiang, and Li, Qing

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

Large Language Models (LLMs) have demonstrated exceptional performance in biochemical tasks, especially the molecule caption translation task, which aims to bridge the gap between molecules and natural language texts. However, previous methods in adapting LLMs to the molecule-caption translation task required extra domain-specific pre-training stages, suffered weak alignment between molecular and textual spaces, or imposed stringent demands on the scale of LLMs. To resolve the challenges, we propose In-Context Molecule Adaptation (ICMA), as a new paradigm allowing LLMs to learn the molecule-text alignment from context examples via In-Context Molecule Tuning. Specifically, ICMA incorporates the following three stages: Hybrid Context Retrieval, Post-retrieval Re-ranking, and In-context Molecule Tuning. Initially, Hybrid Context Retrieval utilizes BM25 Caption Retrieval and Molecule Graph Retrieval to retrieve informative context examples. Additionally, we also propose Post-retrieval Re-ranking with Sequence Reversal and Random Walk to further improve the quality of retrieval results. Finally, In-Context Molecule Tuning unlocks the in-context molecule learning capability of LLMs with retrieved examples and adapts the parameters of LLMs for the molecule-caption translation task. Experimental results demonstrate that ICMT can empower LLMs to achieve state-of-the-art or comparable performance without extra training corpora and intricate structures, showing that LLMs are inherently in-context molecule learners.

Published
2024

6. SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection

Author

Ding, Zhihao, Shi, Jieming, Shen, Shiqi, Shang, Xuequn, Cao, Jiannong, Wang, Zhipeng, and Gong, Zhi

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Graph-level representation learning is important in a wide range of applications. Existing graph-level models are generally built on i.i.d. assumption for both training and testing graphs. However, in an open world, models can encounter out-of-distribution (OOD) testing graphs that are from different distributions unknown during training. A trustworthy model should be able to detect OOD graphs to avoid unreliable predictions, while producing accurate in-distribution (ID) predictions. To achieve this, we present SGOOD, a novel graph-level OOD detection framework. We find that substructure differences commonly exist between ID and OOD graphs, and design SGOOD with a series of techniques to encode task-agnostic substructures for effective OOD detection. Specifically, we build a super graph of substructures for every graph, and develop a two-level graph encoding pipeline that works on both original graphs and super graphs to obtain substructure-enhanced graph representations. We then devise substructure-preserving graph augmentation techniques to further capture more substructure semantics of ID graphs. Extensive experiments against 11 competitors on numerous graph datasets demonstrate the superiority of SGOOD, often surpassing existing methods by a significant margin. The code is available at https://github.com/TommyDzh/SGOOD., Comment: CIKM 2024

Published
2023

7. Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs

Author

Ding, Zhihao, Shi, Jieming, Li, Qing, and Cao, Jiannong

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Cryptocurrencies are rapidly expanding and becoming vital in digital financial markets. However, the rise in cryptocurrency-related illicit activities has led to significant losses for users. To protect the security of these platforms, it is critical to identify illicit accounts effectively. Current detection methods mainly depend on feature engineering or are inadequate to leverage the complex information within cryptocurrency transaction networks, resulting in suboptimal performance. In this paper, we present DIAM, an effective method for detecting illicit accounts in cryptocurrency transaction networks modeled by directed multi-graphs with attributed edges. DIAM first features an Edge2Seq module that captures intrinsic transaction patterns from parallel edges by considering edge attributes and their directed sequences, to generate effective node representations. Then in DIAM, we design a multigraph Discrepancy (MGD) module with a tailored message passing mechanism to capture the discrepant features between normal and illicit nodes over the multigraph topology, assisted by an attention mechanism. DIAM integrates these techniques for end-to-end training to detect illicit accounts from legitimate ones. Extensive experiments, comparing against 15 existing solutions on 4 large cryptocurrency datasets of Bitcoin and Ethereum, demonstrate that DIAM consistently outperforms others in accurately identifying illicit accounts. For example, on a Bitcoin dataset with 20 million nodes and 203 million edges, DIAM attains an F1 score of 96.55%, markedly surpassing the runner-up's score of 83.92%. The code is available at https://github.com/TommyDzh/DIAM., Comment: CIKM 2024

Published
2023

15. Thrombosis risk in single- and double-heterozygous carriers of factor V Leiden and prothrombin G20210A in FinnGen and the UK Biobank

Author

Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Viollet, Coralie, Petrovski, Slavé, Chen, Chia-Yen, John, Sally, Okafo, George, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Pendergrass, Rion, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Mälarstig, Anders, Vlahiotis, Anna, Klinger, Katherine, Chatelain, Clement, Gossel, Matthias, Estrada, Karol, Graham, Robert, Waterworth, Dawn, O´Donnell, Chris, Renaud, Nicole, Mäkelä, Tomi P., Kaprio, Jaakko, Ruddock, Minna, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Raivio, Taneli, Tikkanen, Jani, Serpi, Raisa, Kristiansson, Kati, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Ding, Zhihao, Jung, Marc, Tuoken, Hanati, Biswas, Shameek, Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Hu, Xinli, Hedman, Åsa, Obeidat, Ma´en, Chung, Jonathan, Zierer, Jonas, Niemi, Mari, Ripatti, Samuli, Schleutker, Johanna, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Runz, Heiko, Lahdenperä, Sanni, Bowers, Natalie, Teng, Edmond, Xu, Fanli, Addis, Laura, Eicher, John, Li, Qingqin S., He, Karen, Khramtsova, Ekaterina, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Lu, Tim, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Lertratanakul, Apinya, Hochfeld, Marla, Gordillo, Jorge Esparza, Farias, Fabiana, Bing, Nan, Laitinen, Tarja, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Chen, Hubert, Betts, Joanna, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Niiranen, Teemu, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Elliott, Amanda, Reeve, Mary Pat, Ruotsalainen, Sanni, Paul, Dirk, Chu, Audrey, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Meretoja, Tuomo, Joensuu, Heikki, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Auvinen, Päivi, Elenius, Klaus, Pitkänen, Esa, Popovic, Relja, Fabre, Margarete, Schutzman, Jennifer, Kulkarni, Diptee, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A., Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Liu, Mengzhen, Loomis, Stephanie, Strauss, Erich, Chen, Hao, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Choy, David, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Laivuori, Hannele, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Kumar, Janet, Hovatta, Iiris, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Rahikkala, Elisa, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della Briotta Parolo, Pietro, Zhou, Wei, Maasha, Mutaamba, Lemmelä, Susanna, Rivas, Manuel, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Heyne, Henrike, Rämö, Joel, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Hyvärinen, Kati, Ritari, Jarmo, Pylkäs, Katri, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Kallio, Lila, Wahlfors, Tiina, Punkka, Eero, Siltanen, Sanna, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Cooper, Helen, Öller, Denise, Leinonen, Rasko, Palin, Henna, Linna, Malla-Maria, Kanai, Masahiro, Zheng, Zhili, Lahtela, L. Elisa, Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Dada, Oluwaseun Alexander, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Donner, Kati, Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Luo, Shuang, Padmanabhuni, Shanmukha Sampath, Niemi, Marianna, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Tammerluoto, Jyrki, Smith, Sarah, Southerington, Tom, Lehto, Petri, Ryu, Justine, Rämö, Joel T., Jurgens, Sean J., Sanna-Cherchi, Simone, Bauer, Kenneth A., Haj, Amelia, Choi, Seung Hoan, Ellinor, Patrick T., and Bendapudi, Pavan K.

Published
2024
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16. High-Resolution Genotyping of Formalin-Fixed Tissue Accurately Estimates Polygenic Risk Scores in Human Diseases

Author

Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Paul, Dirk, Petrovski, Slavé, Runz, Heiko, John, Sally, Okafo, George, Lawless, Nathan, Salminen-Mankonen, Heli, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Mälarstig, Anders, Klinger, Katherine, Chatelain, Clement, Gossel, Matthias, Estrada, Karol, Graham, Robert, Yang, Robert, ODonnell, Chris, Mäkelä, Tomi P., Kaprio, Jaakko, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Pitkäranta, Anne, Raivio, Taneli, Tikkanen, Jani, Serpi, Raisa, Laitinen, Tarja, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Pakkanen, Raimo, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Chen, Chia-Yen, Ding, Zhihao, Jung, Marc, Biswas, Shameek, Pendergrass, Rion, Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Hu, Xinli, Hedman, Åsa, Rivas, Manuel, Waterworth, Dawn, Renaud, Nicole, Obeidat, Maen, Ripatti, Samuli, Schleutker, Johanna, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Abbasi, Ali, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Lahdenperä, Sanni, Bowers, Natalie, Teng, Edmond, Xu, Fanli, Addis, Laura, Eicher, John, Li, Qingqin S., He, Karen, Khramtsova, Ekaterina, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Lu, Tim, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Lertratanakul, Apinya, Viollet, Coralie, Hochfeld, Marla, Gordillo, Jorge Esparza, Farias, Fabiana, Bing, Nan, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Chen, Hubert, Betts, Joanna, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Niiranen, Teemu, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Elliott, Amanda, Reeve, Mary Pat, Ruotsalainen, Sanni, Chu, Audrey, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Meretoja, Tuomo, Joensuu, Heikki, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Auvinen, Päivi, Elenius, Klaus, Pitkänen, Esa, Popovic, Relja, Fabre, Margarete, Schutzman, Jennifer, Kulkarni, Diptee, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A., Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Liu, Mengzhen, Loomis, Stephanie, Strauss, Erich, Chen, Hao, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Choy, David, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Laivuori, Hannele, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Kumar, Janet, Hovatta, Iiris, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Als, Thomas Damm, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Rahikkala, Elisa, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della Briotta Parolo, Pietro, Zhou, Wei, Maasha, Mutaamba, Lemmelä, Susanna, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Heyne, Henrike, Rämö, Joel, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Kristiansson, Kati, Hyvärinen, Kati, Ritari, Jarmo, Pylkäs, Katri, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Kallio, Lila, Wahlfors, Tiina, Punkka, Eero, Siltanen, Sanna, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Cooper, Helen, Öller, Denise, Leinonen, Rasko, Palin, Henna, Linna, Malla-Maria, Kanai, Masahiro, Zheng, Zhili, Lahtela, L. Elisa, Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Dada, Oluwaseun Alexander, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Donner, Kati, Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Pärn, Kalle, Kals, Mart, Luo, Shuang, Padmanabhuni, Shanmukha Sampath, Niemi, Marianna, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Tammerluoto, Jyrki, Smith, Sarah, Southerington, Tom, Lehto, Petri, Youssef, Omar, Zidi-Mouaffak, Yossra H.S., and Tamlander, Max

Published
2024
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17. Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder

Author

Zhou, Yadong, Ding, Zhihao, Liu, Xiaoming, Shen, Chao, Tong, Lingling, and Guan, Xiaohong

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

User attributes, such as gender and education, face severe incompleteness in social networks. In order to make this kind of valuable data usable for downstream tasks like user profiling and personalized recommendation, attribute inference aims to infer users' missing attribute labels based on observed data. Recently, variational autoencoder (VAE), an end-to-end deep generative model, has shown promising performance by handling the problem in a semi-supervised way. However, VAEs can easily suffer from over-fitting and over-smoothing when applied to attribute inference. To be specific, VAE implemented with multi-layer perceptron (MLP) can only reconstruct input data but fail in inferring missing parts. While using the trending graph neural networks (GNNs) as encoder has the problem that GNNs aggregate redundant information from neighborhood and generate indistinguishable user representations, which is known as over-smoothing. In this paper, we propose an attribute \textbf{Infer}ence model based on \textbf{A}dversarial \textbf{VAE} (Infer-AVAE) to cope with these issues. Specifically, to overcome over-smoothing, Infer-AVAE unifies MLP and GNNs in encoder to learn positive and negative latent representations respectively. Meanwhile, an adversarial network is trained to distinguish the two representations and GNNs are trained to aggregate less noise for more robust representations through adversarial training. Finally, to relieve over-fitting, mutual information constraint is introduced as a regularizer for decoder, so that it can make better use of auxiliary information in representations and generate outputs not limited by observations. We evaluate our model on 4 real-world social network datasets, experimental results demonstrate that our model averagely outperforms baselines by 7.0$\%$ in accuracy.

Published
2020

19. FinnGen provides genetic insights from a well-phenotyped isolated population

Author

Kurki, Mitja I., Karjalainen, Juha, Palta, Priit, Sipilä, Timo P., Kristiansson, Kati, Donner, Kati M., Reeve, Mary P., Laivuori, Hannele, Aavikko, Mervi, Kaunisto, Mari A., Loukola, Anu, Lahtela, Elisa, Mattsson, Hannele, Laiho, Päivi, Della Briotta Parolo, Pietro, Lehisto, Arto A., Kanai, Masahiro, Mars, Nina, Rämö, Joel, Kiiskinen, Tuomo, Heyne, Henrike O., Veerapen, Kumar, Rüeger, Sina, Lemmelä, Susanna, Zhou, Wei, Ruotsalainen, Sanni, Pärn, Kalle, Hiekkalinna, Tero, Koskelainen, Sami, Paajanen, Teemu, Llorens, Vincent, Gracia-Tabuenca, Javier, Siirtola, Harri, Reis, Kadri, Elnahas, Abdelrahman G., Sun, Benjamin, Foley, Christopher N., Aalto-Setälä, Katriina, Alasoo, Kaur, Arvas, Mikko, Auro, Kirsi, Biswas, Shameek, Bizaki-Vallaskangas, Argyro, Carpen, Olli, Chen, Chia-Yen, Dada, Oluwaseun A., Ding, Zhihao, Ehm, Margaret G., Eklund, Kari, Färkkilä, Martti, Finucane, Hilary, Ganna, Andrea, Ghazal, Awaisa, Graham, Robert R., Green, Eric M., Hakanen, Antti, Hautalahti, Marco, Hedman, Åsa K., Hiltunen, Mikko, Hinttala, Reetta, Hovatta, Iiris, Hu, Xinli, Huertas-Vazquez, Adriana, Huilaja, Laura, Hunkapiller, Julie, Jacob, Howard, Jensen, Jan-Nygaard, Joensuu, Heikki, John, Sally, Julkunen, Valtteri, Jung, Marc, Junttila, Juhani, Kaarniranta, Kai, Kähönen, Mika, Kajanne, Risto, Kallio, Lila, Kälviäinen, Reetta, Kaprio, Jaakko, Kerimov, Nurlan, Kettunen, Johannes, Kilpeläinen, Elina, Kilpi, Terhi, Klinger, Katherine, Kosma, Veli-Matti, Kuopio, Teijo, Kurra, Venla, Laisk, Triin, Laukkanen, Jari, Lawless, Nathan, Liu, Aoxing, Longerich, Simonne, Mägi, Reedik, Mäkelä, Johanna, Mäkitie, Antti, Malarstig, Anders, Mannermaa, Arto, Maranville, Joseph, Matakidou, Athena, Meretoja, Tuomo, Mozaffari, Sahar V., Niemi, Mari E. K., Niemi, Marianna, Niiranen, Teemu, O´Donnell, Christopher J., Obeidat, Ma´en, Okafo, George, Ollila, Hanna M., Palomäki, Antti, Palotie, Tuula, Partanen, Jukka, Paul, Dirk S., Pelkonen, Margit, Pendergrass, Rion K., Petrovski, Slavé, Pitkäranta, Anne, Platt, Adam, Pulford, David, Punkka, Eero, Pussinen, Pirkko, Raghavan, Neha, Rahimov, Fedik, Rajpal, Deepak, Renaud, Nicole A., Riley-Gillis, Bridget, Rodosthenous, Rodosthenis, Saarentaus, Elmo, Salminen, Aino, Salminen, Eveliina, Salomaa, Veikko, Schleutker, Johanna, Serpi, Raisa, Shen, Huei-yi, Siegel, Richard, Silander, Kaisa, Siltanen, Sanna, Soini, Sirpa, Soininen, Hilkka, Sul, Jae Hoon, Tachmazidou, Ioanna, Tasanen, Kaisa, Tienari, Pentti, Toppila-Salmi, Sanna, Tukiainen, Taru, Tuomi, Tiinamaija, Turunen, Joni A., Ulirsch, Jacob C., Vaura, Felix, Virolainen, Petri, Waring, Jeffrey, Waterworth, Dawn, Yang, Robert, Nelis, Mari, Reigo, Anu, Metspalu, Andres, Milani, Lili, Esko, Tõnu, Fox, Caroline, Havulinna, Aki S., Perola, Markus, Ripatti, Samuli, Jalanko, Anu, Laitinen, Tarja, Mäkelä, Tomi P., Plenge, Robert, McCarthy, Mark, Runz, Heiko, Daly, Mark J., and Palotie, Aarno

Published
2023
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20. The public health impact of poor sleep on severe COVID-19, influenza and upper respiratory infections

Author

Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Paul, Dirk, Petrovski, Slavé, Runz, Heiko, John, Sally, Okafo, George, Lawless, Nathan, Salminen-Mankonen, Heli, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Mälarstig, Anders, Klinger, Katherine, Chatelain, Clement, Gossel, Matthias, Estrada, Karol, Graham, Robert, Yang, Robert, O´Donnell, Chris, Mäkelä, Tomi P., Kaprio, Jaakko, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Pitkäranta, Anne, Raivio, Taneli, Tikkanen, Jani, Serpi, Raisa, Laitinen, Tarja, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Pakkanen, Raimo, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Chen, Chia-Yen, Ding, Zhihao, Jung, Marc, Biswas, Shameek, Pendergrass, Rion, Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Hu, Xinli, Hedman, Åsa, Rivas, Manuel, Waterworth, Dawn, Renaud, Nicole, Obeidat, Ma´en, Ripatti, Samuli, Schleutker, Johanna, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Abbasi, Ali, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Lahdenperä, Sanni, Bowers, Natalie, Teng, Edmond, Xu, Fanli, Addis, Laura, Eicher, John, Li, Qingqin S., He, Karen, Khramtsova, Ekaterina, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Lu, Tim, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Lertratanakul, Apinya, Viollet, Coralie, Hochfeld, Marla, Gordillo, Jorge Esparza, Farias, Fabiana, Bing, Nan, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Chen, Hubert, Betts, Joanna, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Niiranen, Teemu, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Elliott, Amanda, Reeve, Mary Pat, Ruotsalainen, Sanni, Chu, Audrey, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Meretoja, Tuomo, Joensuu, Heikki, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Auvinen, Päivi, Elenius, Klaus, Pitkänen, Esa, Popovic, Relja, Fabre, Margarete, Schutzman, Jennifer, Kulkarni, Diptee, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A., Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Liu, Mengzhen, Loomis, Stephanie, Strauss, Erich, Chen, Hao, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Choy, David, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Laivuori, Hannele, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Kumar, Janet, Hovatta, Iiris, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Als, Thomas Damm, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Rahikkala, Elisa, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della Briotta Parolo, Pietro, Zhou, Wei, Maasha, Mutaamba, Lemmelä, Susanna, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Heyne, Henrike, Rämö, Joel, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Kristiansson, Kati, Hyvärinen, Kati, Ritari, Jarmo, Pylkäs, Katri, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Kallio, Lila, Wahlfors, Tiina, Punkka, Eero, Siltanen, Sanna, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Leinonen, Rasko, Palin, Henna, Linna, Malla-Maria, Kanai, Masahiro, Zheng, Zhili, Lahtela, L. Elisa, Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Dada, Oluwaseun Alexander, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Donner, Kati, Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Pärn, Kalle, Kals, Mart, Luo, Shuang, Padmanabhuni, Shanmukha Sampath, Niemi, Marianna, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Tammerluoto, Jyrki, Smith, Sarah, Southerington, Tom, Lehto, Petri, Jones, Samuel E., Maisha, Fahrisa I., Strausz, Satu J., Lammi, Vilma, Cade, Brian E., Tervi, Anniina, Helaakoski, Viola, Broberg, Martin E., Lane, Jacqueline M., Redline, Susan, Saxena, Richa, and Ollila, Hanna M.

Published
2023
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22. Risk of Midlife Stroke After Adverse Pregnancy Outcomes: The FinnGen Study

Author

Miller, Eliza C., Kauko, Anni, Tom, Sarah E., Laivuori, Hannele, Niiranen, Teemu, Bello, Natalie A., Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Paul, Dirk, Matakidou, Athena, Platt, Adam, Runz, Heiko, John, Sally, Okafo, George, Lawless, Nathan, Salminen-Mankonen, Heli, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Hunkapiller, Julie, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Fox, Caroline, Mälarstig, Anders, Klinger, Katherine, Raipal, Deepak, Green, Eric, Graham, Robert, Yang, Robert, Donnell, Chris O´, Mäkelä, Tomi P., Kaprio, Jaakko, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Pitkäranta, Anne, Raivio, Taneli, Serpi, Raisa, Laitinen, Tarja, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Pakkanen, Raimo, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Chen, Chia-Yen, Runz, Heiko, Ding, Zhihao, Jung, Marc, Biswas, Shameek, Pendergrass, Rion, Hunkapiller, Julie, Ehm, Margaret G., Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Mälarstig, Anders, Hu, Xinli, Klinger, Katherine, Graham, Robert, Green, Eric, Mozaffari, Sahar, Waterworth, Dawn, Renaud, Nicole, Obeidat, Ma´en, Ripatti, Samuli, Schleutker, Johanna, Perola, Markus, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Laukkanen, Jari, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Abbasi, Ali, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Runz, Heiko, Lahdenperä, Sanni, Biswas, Shameek, Hunkapiller, Julie, Bowers, Natalie, Teng, Edmond, Pendergrass, Rion, Xu, Fanli, Pulford, David, Auro, Kirsi, Addis, Laura, Eicher, John, Li, Qingqin S, He, Karen, Khramtsova, Ekaterina, Raghavan, Neha, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Daly, Mark, Abbasi, Ali, Waring, Jeffrey, Smaoui, Nizar, Rahimov, Fedik, Lehtonen, Anne, Lu, Tim, Bowers, Natalie, Pendergrass, Rion, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Hu, Xinli, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Abbasi, Ali, Waring, Jeffrey, Rahimov, Fedik, Lertratanakul, Apinya, Smaoui, Nizar, Lehtonen, Anne, Hochfeld, Marla, Bowers, Natalie, Pendergrass, Rion, Esparza Gordillo, Jorge, Auro, Kirsi, Waterworth, Dawn, Farias, Fabiana, Kalpala, Kirsi, Bing, Nan, Hu, Xinli, Laitinen, Tarja, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Smaoui, Nizar, Lassi, Glenda, Eaton, Susan, Chen, Hubert, Pendergrass, Rion, Bowers, Natalie, Betts, Joanna, Auro, Kirsi, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Kähönen, Mika, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Laukkanen, Jari, Elliott, Amanda, Pat Reeve, Mary, Ruotsalainen, Sanni, Challis, Benjamin, Paul, Dirk, Hunkapiller, Julie, Bowers, Natalie, Pendergrass, Rion, Chu, Audrey, Auro, Kirsi, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Miller, Melissa, Meretoja, Tuomo, Joensuu, Heikki, Carpén, Olli, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Elenius, Päivi Auvinen Klaus, Schleutker, Johanna, Pitkänen, Esa, Mars, Nina, Daly, Mark, Popovic, Relja, Waring, Jeffrey, Riley-Gillis, Bridget, Lehtonen, Anne, Schutzman, Jennifer, Hunkapiller, Julie, Bowers, Natalie, Pendergrass, Rion, Kulkarni, Diptee, Auro, Kirsi, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A, Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Pitkänen, Esa, Liu, Mengzhen, Runz, Heiko, Loomis, Stephanie, Strauss, Erich, Bowers, Natalie, Chen, Hao, Pendergrass, Rion, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Smaoui, Nizar, Rahimov, Fedik, Lehtonen, Anne, Choy, David, Pendergrass, Rion, Waterworth, Dawn, Kalpala, Kirsi, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Pendergrass, Rion, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Kettunen, Johannes, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Pat Reeve, Mary, Daly, Mark, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Liu, Mengzhen, Riley-Gillis, Bridget, Pendergrass, Rion, Kumar, Janet, Auro, Kirsi, Hovatta, Iiris, Chen, Chia-Yen, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Damm Als, Thomas, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Salminen, Eveliina, Rahikkala, Elisa, Kettunen, Johannes, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Ripatti, Samuli, Daly, Mark, Karjalainen, Juha, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della, Pietro, Parolo, Briotta, Zhou, Wei, Maasha, Mutaamba, Hassan, Shabbeer, Lemmelä, Susanna, Rivas, Manuel, Niemi, Mari E., Palotie, Aarno, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Tukiainen, Taru, Pat Reeve, Mary, Heyne, Henrike, Mars, Nina, Rämö, Joel, Saarentaus, Elmo, Ollila, Hanna, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Elliott, Amanda, Kristiansson, Kati, Arvas, Mikko, Hyvärinen, Kati, Ritari, Jarmo, Carpén, Olli, Kettunen, Johannes, Pylkäs, Katri, Sliz, Eeva, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Mannermaa, Arto, Laakkonen, Eija, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Terho, Perttu, Soini, Sirpa, Partanen, Jukka, Punkka, Eero, Serpi, Raisa, Siltanen, Sanna, Kosma, Veli-Matti, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Palin, Henna, Linna, Malla-Maria, Kurki, Mitja, Karjalainen, Juha, Della, Pietro, Parolo, Briotta, Lehisto, Arto, Mehtonen, Juha, Zhou, Wei, Kanai, Masahiro, Maasha, Mutaamba, Havulinna, Aki, Lemmelä, Susanna, Kiiskinen, Tuomo, Elisa Lahtela, L., Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Alexander Dada, Oluwaseun, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Ruotsalainen, Sanni, Donner, Kati, Sipilä, Timo P., Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Kristiansson, Kati, Lemmelä, Susanna, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Palta, Priit, Pärn, Kalle, Kals, Mart, Luo, Shuang, Laitinen, Tarja, Pat Reeve, Mary, Sampath Padmanabhuni, Shanmukha, Niemi, Marianna, Siirtola, Harri, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Pitkänen, Jyrki, Hautalahti, Marco, Mäkelä, Johanna, Smith, Sarah, and Southerington, Tom

Published
2023
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23. Mobility Based Routing Protocol with MAC Collision Improvement in Vehicular Ad Hoc Networks

Author

Ding, Zhihao, Ren, Pinyi, and Du, Qinghe

Subjects
Computer Science - Other Computer Science
Abstract

Intelligent transportation system attracts a great deal of research attention because it helps enhance traffic safety, improve driving experiences, and transportation efficiency. Vehicular Ad Hoc Network (VANET) supports wireless connections among vehicles and offers information exchange, thus significantly facilitating intelligent transportation systems. Since the vehicles move fast and often change lanes unpredictably, the network topology evolves rapidly in a random fashion, which imposes diverse challenges in routing protocol design over VANET. When it comes to the 5G era, the fulfilment of ultra low end-to-end delay and ultra high reliability becomes more crucial than ever. In this paper, we propose a novel routing protocol that incorporates mobility status and MAC layer channel contention information. The proposed routing protocol determines next hop by applying mobility information and MAC contention information which differs from existing greedy perimeter stateless routing (GPSR) protocol. Simulation results of the proposed routing protocol show its performance superiority over the existing approach.

Published
2018

24. Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction.

Author

Huang, Xiayuan, Arora, Jatin, Erzurumluoglu, Abdullah Mesut, Stanhope, Stephen A, Lam, Daniel, Sciences, Boehringer Ingelheim—Global Computational Biology and Digital, Zhao, Hongyu, Ding, Zhihao, Wang, Zuoheng, and Jong, Johann de

Abstract

Background Machine learning and deep learning are powerful tools for analyzing electronic health records (EHRs) in healthcare research. Although family health history has been recognized as a major predictor for a wide spectrum of diseases, research has so far adopted a limited view of family relations, essentially treating patients as independent samples in the analysis. Methods To address this gap, we present ALIGATEHR, which models inferred family relations in a graph attention network augmented with an attention-based medical ontology representation, thus accounting for the complex influence of genetics, shared environmental exposures, and disease dependencies. Results Taking disease risk prediction as a use case, we demonstrate that explicitly modeling family relations significantly improves predictions across the disease spectrum. We then show how ALIGATEHR's attention mechanism, which links patients' disease risk to their relatives' clinical profiles, successfully captures genetic aspects of diseases using longitudinal EHR diagnosis data. Finally, we use ALIGATEHR to successfully distinguish the 2 main inflammatory bowel disease subtypes with highly shared risk factors and symptoms (Crohn's disease and ulcerative colitis). Conclusion Overall, our results highlight that family relations should not be overlooked in EHR research and illustrate ALIGATEHR's great potential for enhancing patient representation learning for predictive and interpretable modeling of EHRs. [ABSTRACT FROM AUTHOR]

Published
2025
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25. Exploring the Connection Between the Structure and Activity of Lignin-Derived Porous Carbon Across Various Electrolytic Environments.

Author

Ding, Zhihao, Wang, Rui, Pang, Guoli, Dong, Lili, Lei, Tingzhou, and Ren, Suxia

Subjects
*CARBON-based materials, *CAPACITORS, *POROUS materials, *POROSITY, *ELECTROCHEMICAL electrodes, *SUPERCAPACITOR electrodes, *SUPERCAPACITORS
Abstract

Porous carbon holds great potential for application in supercapacitors due to its rich pore structure and high specific surface area. In this research, lignin served as the starting material for the production of lignin-derived carbon materials via a carbonization-activation process. The resulting porous carbon materials underwent rigorous characterization using SEM, BET, Raman, XRD, and XPS to uncover their morphological and structural intricacies. Notably, the optimal product, achieved with a mass ratio of lignin to KOH and KCl at 1:2:0.5 and activation temperature at 700 °C, emerges as an excellent electrode material for high-performance supercapacitors. This superior carbon material boasts a remarkable specific surface area of 2730 m2 g−1, demonstrating an electrochemical capacitance up to 406 F/g at 1 A/g, its high performance surpasses many existing carbon materials. To further investigate the potential application of ELC in electric double-layer capacitors, the electrochemical properties of ELC in 6 M KOH, 1 M Na2SO4, and 1 M Et4NBF4/PC electrolytes were investigated, the reasons for the differences in ELC's electrochemical performance in different electrolytes are discussed and analyzed in detail, and the advantages and disadvantages of ELC's performance in capacitor devices of different systems are compared and analyzed. This was performed to compare the electrochemical performance of ELC and commercial YP-50F capacitor carbon in an electric double-layer capacitor, and to investigate the potential application of ELC. [ABSTRACT FROM AUTHOR]

Published
2025
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28. Intrinsic bioactivity of black phosphorus nanomaterials on mitotic centrosome destabilization through suppression of PLK1 kinase

Author

Shao, Ximing, Ding, Zhihao, Zhou, Wenhua, Li, Yanyan, Li, Zhibin, Cui, Haodong, Lin, Xian, Cao, Guoli, Cheng, Binghua, Sun, Haiyan, Li, Meiqing, Liu, Ke, Lu, Danyi, Geng, Shengyong, Shi, Wenli, Zhang, Guofang, Song, Qingle, Chen, Liang, Wang, Guocheng, Su, Wu, Cai, Lintao, Fang, Lijing, Leong, David Tai, Li, Yang, Yu, Xue-Feng, and Li, Hongchang

Published
2021
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30. Comprehensive Inherited Risk Estimation for Risk-Based Breast Cancer Screening in Women

Author

Mars, Nina, primary, Kerminen, Sini, additional, Tamlander, Max, additional, Pirinen, Matti, additional, Jakkula, Eveliina, additional, Aaltonen, Kirsimari, additional, Meretoja, Tuomo, additional, Heinävaara, Sirpa, additional, Widén, Elisabeth, additional, Ripatti, Samuli, additional, Palotie, Aarno, additional, Daly, Mark, additional, Riley-Gills, Bridget, additional, Jacob, Howard, additional, Paul, Dirk, additional, Matakidou, Athena, additional, Platt, Adam, additional, Runz, Heiko, additional, John, Sally, additional, Okafo, George, additional, Lawless, Nathan, additional, Plenge, Robert, additional, Maranville, Joseph, additional, McCarthy, Mark, additional, Hunkapiller, Julie, additional, Ehm, Margaret G., additional, Auro, Kirsi, additional, Longerich, Simonne, additional, Fox, Caroline, additional, Mälarstig, Anders, additional, Klinger, Katherine, additional, Raipal, Deepak, additional, Green, Eric, additional, Graham, Robert, additional, Yang, Robert, additional, O'Donnell, Chris, additional, Mäkelä, Tomi P., additional, Kaprio, Jaakko, additional, Virolainen, Petri, additional, Hakanen, Antti, additional, Kilpi, Terhi, additional, Perola, Markus, additional, Partanen, Jukka, additional, Pitkäranta, Anne, additional, Junttila, Juhani, additional, Serpi, Raisa, additional, Laitinen, Tarja, additional, Kosma, Veli-Matti, additional, Laukkanen, Jari, additional, Hautalahti, Marco, additional, Tuovila, Outi, additional, Pakkanen, Raimo, additional, Waring, Jeffrey, additional, Riley-Gillis, Bridget, additional, Rahimov, Fedik, additional, Tachmazidou, Ioanna, additional, Chen, Chia-Yen, additional, Ding, Zhihao, additional, Jung, Marc, additional, Biswas, Shameek, additional, Pendergrass, Rion, additional, Pulford, David, additional, Raghavan, Neha, additional, Huertas-Vazquez, Adriana, additional, Sul, Jae-Hoon, additional, Hu, Xinli, additional, Mozaffari, Sahar, additional, Waterworth, Dawn, additional, Renaud, Nicole, additional, Obeidat, Ma'en, additional, Schleutker, Johanna, additional, Arvas, Mikko, additional, Carpén, Olli, additional, Hinttala, Reetta, additional, Kettunen, Johannes, additional, Mannermaa, Arto, additional, Aalto-Setälä, Katriina, additional, Kähönen, Mika, additional, Mäkelä, Johanna, additional, Kälviäinen, Reetta, additional, Julkunen, Valtteri, additional, Soininen, Hilkka, additional, Remes, Anne, additional, Hiltunen, Mikko, additional, Peltola, Jukka, additional, Raivio, Minna, additional, Tienari, Pentti, additional, Rinne, Juha, additional, Kallionpää, Roosa, additional, Partanen, Juulia, additional, Abbasi, Ali, additional, Ziemann, Adam, additional, Smaoui, Nizar, additional, Lehtonen, Anne, additional, Eaton, Susan, additional, Lahdenperä, Sanni, additional, Bowers, Natalie, additional, Teng, Edmond, additional, Xu, Fanli, additional, Addis, Laura, additional, Eicher, John, additional, Li, Qingqin S, additional, He, Karen, additional, Khramtsova, Ekaterina, additional, Färkkilä, Martti, additional, Koskela, Jukka, additional, Pikkarainen, Sampsa, additional, Jussila, Airi, additional, Kaukinen, Katri, additional, Blomster, Timo, additional, Kiviniemi, Mikko, additional, Voutilainen, Markku, additional, Lu, Tim, additional, McCarthy, Linda, additional, Hart, Amy, additional, Guan, Meijian, additional, Miller, Jason, additional, Kalpala, Kirsi, additional, Miller, Melissa, additional, Eklund, Kari, additional, Palomäki, Antti, additional, Isomäki, Pia, additional, Pirilä, Laura, additional, Kaipiainen-Seppänen, Oili, additional, Huhtakangas, Johanna, additional, Mars, Nina, additional, Lertratanakul, Apinya, additional, Close, David, additional, Hochfeld, Marla, additional, Gordillo, Jorge Esparza, additional, Farias, Fabiana, additional, Bing, Nan, additional, Pelkonen, Margit, additional, Kauppi, Paula, additional, Kankaanranta, Hannu, additional, Harju, Terttu, additional, Lahesmaa, Riitta, additional, Mackay, Alex, additional, Lassi, Glenda, additional, Chen, Hubert, additional, Betts, Joanna, additional, Mishra, Rajashree, additional, Mouded, Majd, additional, Ngo, Debby, additional, Niiranen, Teemu, additional, Vaura, Felix, additional, Salomaa, Veikko, additional, Metsärinne, Kaj, additional, Aittokallio, Jenni, additional, Hernesniemi, Jussi, additional, Gordin, Daniel, additional, Sinisalo, Juha, additional, Taskinen, Marja-Riitta, additional, Tuomi, Tiinamaija, additional, Hiltunen, Timo, additional, Elliott, Amanda, additional, Reeve, Mary Pat, additional, Ruotsalainen, Sanni, additional, Challis, Benjamin, additional, Chu, Audrey, additional, Reilly, Dermot, additional, Mendelson, Mike, additional, Parkkinen, Jaakko, additional, Joensuu, Heikki, additional, Mattson, Johanna, additional, Salminen, Eveliina, additional, Auranen, Annika, additional, Karihtala, Peeter, additional, Auvinen, Päivi, additional, Elenius, Klaus, additional, Pitkänen, Esa, additional, Popovic, Relja, additional, Schutzman, Jennifer, additional, Kulkarni, Diptee, additional, Porello, Alessandro, additional, Loboda, Andrey, additional, Lehtonen, Heli, additional, McDonough, Stefan, additional, Vuoti, Sauli, additional, Kaarniranta, Kai, additional, Turunen, Joni A, additional, Ollila, Terhi, additional, Uusitalo, Hannu, additional, Karjalainen, Juha, additional, Liu, Mengzhen, additional, Loomis, Stephanie, additional, Strauss, Erich, additional, Chen, Hao, additional, Tasanen, Kaisa, additional, Huilaja, Laura, additional, Hannula-Jouppi, Katariina, additional, Salmi, Teea, additional, Peltonen, Sirkku, additional, Koulu, Leena, additional, Choy, David, additional, Wu, Ying, additional, Pussinen, Pirkko, additional, Salminen, Aino, additional, Salo, Tuula, additional, Rice, David, additional, Nieminen, Pekka, additional, Palotie, Ulla, additional, Siponen, Maria, additional, Suominen, Liisa, additional, Mäntylä, Päivi, additional, Gursoy, Ulvi, additional, Anttonen, Vuokko, additional, Sipilä, Kirsi, additional, Laivuori, Hannele, additional, Kurra, Venla, additional, Kotaniemi-Talonen, Laura, additional, Heikinheimo, Oskari, additional, Kalliala, Ilkka, additional, Aaltonen, Lauri, additional, Jokimaa, Varpu, additional, Vääräsmäki, Marja, additional, Uimari, Outi, additional, Morin-Papunen, Laure, additional, Niinimäki, Maarit, additional, Piltonen, Terhi, additional, Kivinen, Katja, additional, Widen, Elisabeth, additional, Tukiainen, Taru, additional, Välimäki, Niko, additional, Laakkonen, Eija, additional, Tyrmi, Jaakko, additional, Silven, Heidi, additional, Sliz, Eeva, additional, Arffman, Riikka, additional, Savukoski, Susanna, additional, Laisk, Triin, additional, Pujol, Natalia, additional, Kumar, Janet, additional, Hovatta, Iiris, additional, Isometsä, Erkki, additional, Veerapen, Kumar, additional, Ollila, Hanna, additional, Suvisaari, Jaana, additional, Als, Thomas Damm, additional, Mäkitie, Antti, additional, Bizaki-Vallaskangas, Argyro, additional, Toppila-Salmi, Sanna, additional, Willberg, Tytti, additional, Saarentaus, Elmo, additional, Aarnisalo, Antti, additional, Rahikkala, Elisa, additional, Aittomäki, Kristiina, additional, Åberg, Fredrik, additional, Kurki, Mitja, additional, Havulinna, Aki, additional, Mehtonen, Juha, additional, Palta, Priit, additional, Hassan, Shabbeer, additional, Della Briotta Parolo, Pietro, additional, Zhou, Wei, additional, Maasha, Mutaamba, additional, Lemmelä, Susanna, additional, Rivas, Manuel, additional, Niemi, Mari E., additional, Liu, Aoxing, additional, Lehisto, Arto, additional, Ganna, Andrea, additional, Llorens, Vincent, additional, Heyne, Henrike, additional, Rämö, Joel, additional, Rodosthenous, Rodos, additional, Strausz, Satu, additional, Palotie, Tuula, additional, Palin, Kimmo, additional, Garcia-Tabuenca, Javier, additional, Siirtola, Harri, additional, Kiiskinen, Tuomo, additional, Lee, Jiwoo, additional, Tsuo, Kristin, additional, Kristiansson, Kati, additional, Hyvärinen, Kati, additional, Ritari, Jarmo, additional, Pylkäs, Katri, additional, Karjalainen, Minna, additional, Mantere, Tuomo, additional, Kangasniemi, Eeva, additional, Heikkinen, Sami, additional, Pitkänen, Nina, additional, Lessard, Samuel, additional, Chatelain, Clément, additional, Terho, Perttu, additional, Soini, Sirpa, additional, Punkka, Eero, additional, Siltanen, Sanna, additional, Kuopio, Teijo, additional, Jalanko, Anu, additional, Shen, Huei-Yi, additional, Kajanne, Risto, additional, Aavikko, Mervi, additional, Kanai, Masahiro, additional, Lahtela, L. Elisa, additional, Kaunisto, Mari, additional, Kilpeläinen, Elina, additional, Sipilä, Timo P., additional, Dada, Oluwaseun Alexander, additional, Ghazal, Awaisa, additional, Kytölä, Anastasia, additional, Weldatsadik, Rigbe, additional, Donner, Kati, additional, Loukola, Anu, additional, Laiho, Päivi, additional, Sistonen, Tuuli, additional, Kaiharju, Essi, additional, Laukkanen, Markku, additional, Järvensivu, Elina, additional, Lähteenmäki, Sini, additional, Männikkö, Lotta, additional, Wong, Regis, additional, Toivola, Auli, additional, Brunfeldt, Minna, additional, Mattsson, Hannele, additional, Koskelainen, Sami, additional, Hiekkalinna, Tero, additional, Paajanen, Teemu, additional, Pärn, Kalle, additional, Kals, Mart, additional, Luo, Shuang, additional, Sinha, Vishal, additional, Niemi, Marianna, additional, Gracia-Tabuenca, Javier, additional, Helminen, Mika, additional, Luukkaala, Tiina, additional, Vähätalo, Iida, additional, Pitkänen, Jyrki, additional, Smith, Sarah, additional, and Southerington, Tom, additional

Published
2024
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31. mARC1 in MASLD: Modulation of lipid accumulation in human hepatocytes and adipocytes

Author

Jones, Amanda K., primary, Bajrami, Besnik, additional, Campbell, Morgan K., additional, Erzurumluoglu, Abdullah Mesut, additional, Guo, Qiusha, additional, Chen, Hongxing, additional, Zhang, Xiaomei, additional, Zeveleva, Svetlana, additional, Kvaskoff, David, additional, Brunner, Andreas-David, additional, Muller, Stefanie, additional, Gathey, Vasudha, additional, Dave, Rajvee M., additional, Tanner, James W., additional, Rixen, Sophia, additional, Struwe, Michel A., additional, Phoenix, Kathryn, additional, Klumph, Kaitlyn J., additional, Robinson, Heather, additional, Veyel, Daniel, additional, Muller, Annkatrin, additional, Noyvert, Boris, additional, Bartholdy, Boris Alexander, additional, Steixner-Kumar, Agnes A., additional, Stutzki, Jan, additional, Drichel, Dmitriy, additional, Omland, Steffen, additional, Sheehan, Ryan, additional, Hill, Jon, additional, Bretschneider, Tom, additional, Gottschling, Dirk, additional, Scheidig, Axel J., additional, Clement, Bernd, additional, Giera, Martin, additional, Ding, Zhihao, additional, Broadwater, John, additional, and Warren, Curtis R., additional

Published
2024
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32. Author Correction: FinnGen provides genetic insights from a well-phenotyped isolated population

Author

Kurki, Mitja I., Karjalainen, Juha, Palta, Priit, Sipilä, Timo P., Kristiansson, Kati, Donner, Kati M., Reeve, Mary P., Laivuori, Hannele, Aavikko, Mervi, Kaunisto, Mari A., Loukola, Anu, Lahtela, Elisa, Mattsson, Hannele, Laiho, Päivi, Della Briotta Parolo, Pietro, Lehisto, Arto A., Kanai, Masahiro, Mars, Nina, Rämö, Joel, Kiiskinen, Tuomo, Heyne, Henrike O., Veerapen, Kumar, Rüeger, Sina, Lemmelä, Susanna, Zhou, Wei, Ruotsalainen, Sanni, Pärn, Kalle, Hiekkalinna, Tero, Koskelainen, Sami, Paajanen, Teemu, Llorens, Vincent, Gracia-Tabuenca, Javier, Siirtola, Harri, Reis, Kadri, Elnahas, Abdelrahman G., Sun, Benjamin, Foley, Christopher N., Aalto-Setälä, Katriina, Alasoo, Kaur, Arvas, Mikko, Auro, Kirsi, Biswas, Shameek, Bizaki-Vallaskangas, Argyro, Carpen, Olli, Chen, Chia-Yen, Dada, Oluwaseun A., Ding, Zhihao, Ehm, Margaret G., Eklund, Kari, Färkkilä, Martti, Finucane, Hilary, Ganna, Andrea, Ghazal, Awaisa, Graham, Robert R., Green, Eric M., Hakanen, Antti, Hautalahti, Marco, Hedman, Åsa K., Hiltunen, Mikko, Hinttala, Reetta, Hovatta, Iiris, Hu, Xinli, Huertas-Vazquez, Adriana, Huilaja, Laura, Hunkapiller, Julie, Jacob, Howard, Jensen, Jan-Nygaard, Joensuu, Heikki, John, Sally, Julkunen, Valtteri, Jung, Marc, Junttila, Juhani, Kaarniranta, Kai, Kähönen, Mika, Kajanne, Risto, Kallio, Lila, Kälviäinen, Reetta, Kaprio, Jaakko, Kerimov, Nurlan, Kettunen, Johannes, Kilpeläinen, Elina, Kilpi, Terhi, Klinger, Katherine, Kosma, Veli-Matti, Kuopio, Teijo, Kurra, Venla, Laisk, Triin, Laukkanen, Jari, Lawless, Nathan, Liu, Aoxing, Longerich, Simonne, Mägi, Reedik, Mäkelä, Johanna, Mäkitie, Antti, Malarstig, Anders, Mannermaa, Arto, Maranville, Joseph, Matakidou, Athena, Meretoja, Tuomo, Mozaffari, Sahar V., Niemi, Mari E. K., Niemi, Marianna, Niiranen, Teemu, O´Donnell, Christopher J., Obeidat, Ma´en, Okafo, George, Ollila, Hanna M., Palomäki, Antti, Palotie, Tuula, Partanen, Jukka, Paul, Dirk S., Pelkonen, Margit, Pendergrass, Rion K., Petrovski, Slavé, Pitkäranta, Anne, Platt, Adam, Pulford, David, Punkka, Eero, Pussinen, Pirkko, Raghavan, Neha, Rahimov, Fedik, Rajpal, Deepak, Renaud, Nicole A., Riley-Gillis, Bridget, Rodosthenous, Rodosthenis, Saarentaus, Elmo, Salminen, Aino, Salminen, Eveliina, Salomaa, Veikko, Schleutker, Johanna, Serpi, Raisa, Shen, Huei-yi, Siegel, Richard, Silander, Kaisa, Siltanen, Sanna, Soini, Sirpa, Soininen, Hilkka, Sul, Jae Hoon, Tachmazidou, Ioanna, Tasanen, Kaisa, Tienari, Pentti, Toppila-Salmi, Sanna, Tukiainen, Taru, Tuomi, Tiinamaija, Turunen, Joni A., Ulirsch, Jacob C., Vaura, Felix, Virolainen, Petri, Waring, Jeffrey, Waterworth, Dawn, Yang, Robert, Nelis, Mari, Reigo, Anu, Metspalu, Andres, Milani, Lili, Esko, Tõnu, Fox, Caroline, Havulinna, Aki S., Perola, Markus, Ripatti, Samuli, Jalanko, Anu, Laitinen, Tarja, Mäkelä, Tomi P., Plenge, Robert, McCarthy, Mark, Runz, Heiko, Daly, Mark J., and Palotie, Aarno

Published
2023
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33. Ant Colony Optimization Based Delay-Sensitive Routing Protocol in Vehicular Ad Hoc Networks

Author

Ding, Zhihao, Ren, Pinyi, Du, Qinghe, Akan, Ozgur, Series Editor, Bellavista, Paolo, Series Editor, Cao, Jiannong, Series Editor, Coulson, Geoffrey, Series Editor, Dressler, Falko, Series Editor, Ferrari, Domenico, Series Editor, Gerla, Mario, Series Editor, Kobayashi, Hisashi, Series Editor, Palazzo, Sergio, Series Editor, Sahni, Sartaj, Series Editor, Shen, Xuemin (Sherman), Series Editor, Stan, Mircea, Series Editor, Xiaohua, Jia, Series Editor, Zomaya, Albert Y., Series Editor, Li, Bo, editor, Yang, Mao, editor, Yuan, Hui, editor, and Yan, Zhongjiang, editor

Published
2019
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36. Wnt target gene activation requires β-catenin separation into biomolecular condensates.

Author

Stewart, Richard A., Ding, Zhihao, Jeon, Ung Seop, Goodman, Lauren B., Tran, Jeannine J., Zientko, John P., Sabu, Malavika, and Cadigan, Ken M.

Subjects
*GENETIC regulation, *AMINO acid residues, *HUMAN cell culture, *WNT genes, *N-terminal residues, *WNT signal transduction
Abstract

The Wnt/β-catenin signaling pathway plays numerous essential roles in animal development and tissue/stem cell maintenance. The activation of genes regulated by Wnt/β-catenin signaling requires the nuclear accumulation of β-catenin, a transcriptional co-activator. β-catenin is recruited to many Wnt-regulated enhancers through direct binding to T-cell factor/lymphoid enhancer factor (TCF/LEF) family transcription factors. β-catenin has previously been reported to form phase-separated biomolecular condensates (BMCs), which was implicated as a component of β-catenin's mechanism of action. This function required aromatic amino acid residues in the intrinsically disordered regions (IDRs) at the N- and C-termini of the protein. In this report, we further explore a role for β-catenin BMCs in Wnt target gene regulation. We find that β-catenin BMCs are miscible with LEF1 BMCs in vitro and in cultured cells. We characterized a panel of β-catenin mutants with different combinations of aromatic residue mutations in human cell culture and Drosophila melanogaster. Our data support a model in which aromatic residues across both IDRs contribute to BMC formation and signaling activity. Although different Wnt targets have different sensitivities to loss of β-catenin's aromatic residues, the activation of every target examined was compromised by aromatic substitution. These mutants are not defective in nuclear import or co-immunoprecipitation with several β-catenin binding partners. In addition, residues in the N-terminal IDR with no previously known role in signaling are clearly required for the activation of various Wnt readouts. Consistent with this, deletion of the N-terminal IDR results in a loss of signaling activity, which can be rescued by the addition of heterologous IDRs enriched in aromatic residues. Overall, our work supports a model in which the ability of β-catenin to form biomolecular condensates in the nucleus is tightly linked to its function as a transcriptional co-regulator. [ABSTRACT FROM AUTHOR]

Published
2024
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37. System-Level Simulation Platform for Device-to-Device Communications in 5G Networks

Author

Ding, Zhihao, Ren, Pinyi, Du, Qinghe, Akan, Ozgur, Series Editor, Bellavista, Paolo, Series Editor, Cao, Jiannong, Series Editor, Coulson, Geoffrey, Series Editor, Dressler, Falko, Series Editor, Ferrari, Domenico, Series Editor, Gerla, Mario, Series Editor, Kobayashi, Hisashi, Series Editor, Palazzo, Sergio, Series Editor, Sahni, Sartaj, Series Editor, Shen, Xuemin (Sherman), Series Editor, Stan, Mircea, Series Editor, Xiaohua, Jia, Series Editor, Zomaya, Albert Y., Series Editor, Li, Bo, editor, Shu, Lei, editor, and Zeng, Deze, editor

Published
2018
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39. ECFM-LES modeling with AMR for the CCV prediction and analysis in lean-burn engines

Author

Maio Giampaolo, Ding Zhihao, Truffin Karine, Colin Olivier, Benoit Olivier, and Jay Stéphane

Subjects
spark ignition engines, combustion variability, empirical mode decomposition, Technology, Science
Abstract

A Large-Eddy Simulation (LES) modeling framework, dedicated to ultra-lean spark-ignition engines, is proposed and validated in the present work. A direct injection research engine is retained as benchmark configuration. The LES model is initially validated using the cold gas-exchange conditions by comparing numerical results with PIV (Particle Imaging Velocimetry) experimental data. Then, the fired configuration is investigated, combining ECFM (Extended Coherent Flame Model) turbulent combustion model with Adaptive Mesh Refinement (AMR). The capability of the model to reproduce experimental pressure envelope and cycle-to-cycle variability is assessed. Within the major scope of the work, a particular focus on the Combustion Cyclic Variability (CCV) is made correlating them with the variability encountered in the in-cylinder aerodynamic variations. R3P4. Finally two post-processing tools, Empirical Mode Decomposition (EMD) and Γ3p function, are proposed and combined to analyse for the first time the aerodynamic tumble-based in-cylinder velocity field. Both tools make it possible to get deeply into the insight and visualization of the flow field and to understand the links between its cyclic variability and the combustion cyclic variability.

Published
2022
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41. The public health impact of poor sleep on severe COVID-19, influenza and upper respiratory infections

Author

Jones, Samuel E., primary, Maisha, Fahrisa I., additional, Strausz, Satu J., additional, Lammi, Vilma, additional, Cade, Brian E., additional, Tervi, Anniina, additional, Helaakoski, Viola, additional, Broberg, Martin E., additional, Lane, Jacqueline M., additional, Redline, Susan, additional, Saxena, Richa, additional, Ollila, Hanna M., additional, Palotie, Aarno, additional, Daly, Mark, additional, Riley-Gills, Bridget, additional, Jacob, Howard, additional, Paul, Dirk, additional, Petrovski, Slavé, additional, Runz, Heiko, additional, John, Sally, additional, Okafo, George, additional, Lawless, Nathan, additional, Salminen-Mankonen, Heli, additional, Plenge, Robert, additional, Maranville, Joseph, additional, McCarthy, Mark, additional, Ehm, Margaret G., additional, Auro, Kirsi, additional, Longerich, Simonne, additional, Mälarstig, Anders, additional, Klinger, Katherine, additional, Chatelain, Clement, additional, Gossel, Matthias, additional, Estrada, Karol, additional, Graham, Robert, additional, Yang, Robert, additional, O´Donnell, Chris, additional, Mäkelä, Tomi P., additional, Kaprio, Jaakko, additional, Virolainen, Petri, additional, Hakanen, Antti, additional, Kilpi, Terhi, additional, Perola, Markus, additional, Partanen, Jukka, additional, Pitkäranta, Anne, additional, Raivio, Taneli, additional, Tikkanen, Jani, additional, Serpi, Raisa, additional, Laitinen, Tarja, additional, Kosma, Veli-Matti, additional, Laukkanen, Jari, additional, Hautalahti, Marco, additional, Tuovila, Outi, additional, Pakkanen, Raimo, additional, Waring, Jeffrey, additional, Riley-Gillis, Bridget, additional, Rahimov, Fedik, additional, Tachmazidou, Ioanna, additional, Chen, Chia-Yen, additional, Ding, Zhihao, additional, Jung, Marc, additional, Biswas, Shameek, additional, Pendergrass, Rion, additional, Pulford, David, additional, Raghavan, Neha, additional, Huertas-Vazquez, Adriana, additional, Sul, Jae-Hoon, additional, Hu, Xinli, additional, Hedman, Åsa, additional, Rivas, Manuel, additional, Waterworth, Dawn, additional, Renaud, Nicole, additional, Obeidat, Ma´en, additional, Ripatti, Samuli, additional, Schleutker, Johanna, additional, Arvas, Mikko, additional, Carpén, Olli, additional, Hinttala, Reetta, additional, Kettunen, Johannes, additional, Mannermaa, Arto, additional, Aalto-Setälä, Katriina, additional, Kähönen, Mika, additional, Mäkelä, Johanna, additional, Kälviäinen, Reetta, additional, Julkunen, Valtteri, additional, Soininen, Hilkka, additional, Remes, Anne, additional, Hiltunen, Mikko, additional, Peltola, Jukka, additional, Raivio, Minna, additional, Tienari, Pentti, additional, Rinne, Juha, additional, Kallionpää, Roosa, additional, Partanen, Juulia, additional, Abbasi, Ali, additional, Ziemann, Adam, additional, Smaoui, Nizar, additional, Lehtonen, Anne, additional, Eaton, Susan, additional, Lahdenperä, Sanni, additional, Bowers, Natalie, additional, Teng, Edmond, additional, Xu, Fanli, additional, Addis, Laura, additional, Eicher, John, additional, Li, Qingqin S., additional, He, Karen, additional, Khramtsova, Ekaterina, additional, Färkkilä, Martti, additional, Koskela, Jukka, additional, Pikkarainen, Sampsa, additional, Jussila, Airi, additional, Kaukinen, Katri, additional, Blomster, Timo, additional, Kiviniemi, Mikko, additional, Voutilainen, Markku, additional, Lu, Tim, additional, McCarthy, Linda, additional, Hart, Amy, additional, Guan, Meijian, additional, Miller, Jason, additional, Kalpala, Kirsi, additional, Miller, Melissa, additional, Eklund, Kari, additional, Palomäki, Antti, additional, Isomäki, Pia, additional, Pirilä, Laura, additional, Kaipiainen-Seppänen, Oili, additional, Huhtakangas, Johanna, additional, Mars, Nina, additional, Lertratanakul, Apinya, additional, Viollet, Coralie, additional, Hochfeld, Marla, additional, Gordillo, Jorge Esparza, additional, Farias, Fabiana, additional, Bing, Nan, additional, Pelkonen, Margit, additional, Kauppi, Paula, additional, Kankaanranta, Hannu, additional, Harju, Terttu, additional, Lahesmaa, Riitta, additional, Chen, Hubert, additional, Betts, Joanna, additional, Mishra, Rajashree, additional, Mouded, Majd, additional, Ngo, Debby, additional, Niiranen, Teemu, additional, Vaura, Felix, additional, Salomaa, Veikko, additional, Metsärinne, Kaj, additional, Aittokallio, Jenni, additional, Hernesniemi, Jussi, additional, Gordin, Daniel, additional, Sinisalo, Juha, additional, Taskinen, Marja-Riitta, additional, Tuomi, Tiinamaija, additional, Hiltunen, Timo, additional, Elliott, Amanda, additional, Reeve, Mary Pat, additional, Ruotsalainen, Sanni, additional, Chu, Audrey, additional, Reilly, Dermot, additional, Mendelson, Mike, additional, Parkkinen, Jaakko, additional, Meretoja, Tuomo, additional, Joensuu, Heikki, additional, Mattson, Johanna, additional, Salminen, Eveliina, additional, Auranen, Annika, additional, Karihtala, Peeter, additional, Auvinen, Päivi, additional, Elenius, Klaus, additional, Pitkänen, Esa, additional, Popovic, Relja, additional, Fabre, Margarete, additional, Schutzman, Jennifer, additional, Kulkarni, Diptee, additional, Porello, Alessandro, additional, Loboda, Andrey, additional, Lehtonen, Heli, additional, McDonough, Stefan, additional, Vuoti, Sauli, additional, Kaarniranta, Kai, additional, Turunen, Joni A., additional, Ollila, Terhi, additional, Uusitalo, Hannu, additional, Karjalainen, Juha, additional, Liu, Mengzhen, additional, Loomis, Stephanie, additional, Strauss, Erich, additional, Chen, Hao, additional, Tasanen, Kaisa, additional, Huilaja, Laura, additional, Hannula-Jouppi, Katariina, additional, Salmi, Teea, additional, Peltonen, Sirkku, additional, Koulu, Leena, additional, Choy, David, additional, Wu, Ying, additional, Pussinen, Pirkko, additional, Salminen, Aino, additional, Salo, Tuula, additional, Rice, David, additional, Nieminen, Pekka, additional, Palotie, Ulla, additional, Siponen, Maria, additional, Suominen, Liisa, additional, Mäntylä, Päivi, additional, Gursoy, Ulvi, additional, Anttonen, Vuokko, additional, Sipilä, Kirsi, additional, Laivuori, Hannele, additional, Kurra, Venla, additional, Kotaniemi-Talonen, Laura, additional, Heikinheimo, Oskari, additional, Kalliala, Ilkka, additional, Aaltonen, Lauri, additional, Jokimaa, Varpu, additional, Vääräsmäki, Marja, additional, Uimari, Outi, additional, Morin-Papunen, Laure, additional, Niinimäki, Maarit, additional, Piltonen, Terhi, additional, Kivinen, Katja, additional, Widen, Elisabeth, additional, Tukiainen, Taru, additional, Välimäki, Niko, additional, Laakkonen, Eija, additional, Tyrmi, Jaakko, additional, Silven, Heidi, additional, Sliz, Eeva, additional, Arffman, Riikka, additional, Savukoski, Susanna, additional, Laisk, Triin, additional, Pujol, Natalia, additional, Kumar, Janet, additional, Hovatta, Iiris, additional, Isometsä, Erkki, additional, Ollila, Hanna, additional, Suvisaari, Jaana, additional, Als, Thomas Damm, additional, Mäkitie, Antti, additional, Bizaki-Vallaskangas, Argyro, additional, Toppila-Salmi, Sanna, additional, Willberg, Tytti, additional, Saarentaus, Elmo, additional, Aarnisalo, Antti, additional, Rahikkala, Elisa, additional, Aittomäki, Kristiina, additional, Åberg, Fredrik, additional, Kurki, Mitja, additional, Havulinna, Aki, additional, Mehtonen, Juha, additional, Palta, Priit, additional, Hassan, Shabbeer, additional, Della Briotta Parolo, Pietro, additional, Zhou, Wei, additional, Maasha, Mutaamba, additional, Lemmelä, Susanna, additional, Liu, Aoxing, additional, Lehisto, Arto, additional, Ganna, Andrea, additional, Llorens, Vincent, additional, Heyne, Henrike, additional, Rämö, Joel, additional, Rodosthenous, Rodos, additional, Strausz, Satu, additional, Palotie, Tuula, additional, Palin, Kimmo, additional, Garcia-Tabuenca, Javier, additional, Siirtola, Harri, additional, Kiiskinen, Tuomo, additional, Lee, Jiwoo, additional, Tsuo, Kristin, additional, Kristiansson, Kati, additional, Hyvärinen, Kati, additional, Ritari, Jarmo, additional, Pylkäs, Katri, additional, Karjalainen, Minna, additional, Mantere, Tuomo, additional, Kangasniemi, Eeva, additional, Heikkinen, Sami, additional, Pitkänen, Nina, additional, Lessard, Samuel, additional, Chatelain, Clément, additional, Kallio, Lila, additional, Wahlfors, Tiina, additional, Punkka, Eero, additional, Siltanen, Sanna, additional, Kuopio, Teijo, additional, Jalanko, Anu, additional, Shen, Huei-Yi, additional, Kajanne, Risto, additional, Aavikko, Mervi, additional, Leinonen, Rasko, additional, Palin, Henna, additional, Linna, Malla-Maria, additional, Kanai, Masahiro, additional, Zheng, Zhili, additional, Lahtela, L. Elisa, additional, Kaunisto, Mari, additional, Kilpeläinen, Elina, additional, Sipilä, Timo P., additional, Dada, Oluwaseun Alexander, additional, Ghazal, Awaisa, additional, Kytölä, Anastasia, additional, Weldatsadik, Rigbe, additional, Donner, Kati, additional, Loukola, Anu, additional, Laiho, Päivi, additional, Sistonen, Tuuli, additional, Kaiharju, Essi, additional, Laukkanen, Markku, additional, Järvensivu, Elina, additional, Lähteenmäki, Sini, additional, Männikkö, Lotta, additional, Wong, Regis, additional, Toivola, Auli, additional, Brunfeldt, Minna, additional, Mattsson, Hannele, additional, Koskelainen, Sami, additional, Hiekkalinna, Tero, additional, Paajanen, Teemu, additional, Pärn, Kalle, additional, Kals, Mart, additional, Luo, Shuang, additional, Padmanabhuni, Shanmukha Sampath, additional, Niemi, Marianna, additional, Gracia-Tabuenca, Javier, additional, Helminen, Mika, additional, Luukkaala, Tiina, additional, Vähätalo, Iida, additional, Tammerluoto, Jyrki, additional, Smith, Sarah, additional, Southerington, Tom, additional, and Lehto, Petri, additional

Published
2023
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42. Thrombosis risk in single- and double-heterozygous carriers of factor V Leiden and prothrombin G20210A in FinnGen and the UK Biobank

Author

Ryu, Justine, Rämö, Joel T., Jurgens, Sean J., Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Viollet, Coralie, Petrovski, Slavé, Chen, Chia-Yen, John, Sally, Okafo, George, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Pendergrass, Rion, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Mälarstig, Anders, Vlahiotis, Anna, Klinger, Katherine, Chatelain, Clement, Gossel, Matthias, Estrada, Karol, Graham, Robert, Waterworth, Dawn, O´Donnell, Chris, Renaud, Nicole, Mäkelä, Tomi P., Kaprio, Jaakko, Ruddock, Minna, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Raivio, Taneli, Tikkanen, Jani, Serpi, Raisa, Kristiansson, Kati, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Chen, Chia-Yen, Ding, Zhihao, Jung, Marc, Tuoken, Hanati, Biswas, Shameek, Pendergrass, Rion, Ehm, Margaret G., Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Mälarstig, Anders, Hu, Xinli, Hedman, Åsa, Klinger, Katherine, Graham, Robert, Waterworth, Dawn, Renaud, Nicole, Obeidat, Ma´en, Chung, Jonathan, Zierer, Jonas, Niemi, Mari, Ripatti, Samuli, Schleutker, Johanna, Perola, Markus, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Laukkanen, Jari, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Runz, Heiko, Lahdenperä, Sanni, Biswas, Shameek, Bowers, Natalie, Teng, Edmond, Pendergrass, Rion, Xu, Fanli, Pulford, David, Auro, Kirsi, Addis, Laura, Eicher, John, Li, Qingqin S., He, Karen, Khramtsova, Ekaterina, Raghavan, Neha, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Daly, Mark, Waring, Jeffrey, Smaoui, Nizar, Rahimov, Fedik, Lehtonen, Anne, Lu, Tim, Bowers, Natalie, Pendergrass, Rion, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Hu, Xinli, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Waring, Jeffrey, Rahimov, Fedik, Lertratanakul, Apinya, Smaoui, Nizar, Lehtonen, Anne, Viollet, Coralie, Hochfeld, Marla, Bowers, Natalie, Pendergrass, Rion, Gordillo, Jorge Esparza, Auro, Kirsi, Waterworth, Dawn, Farias, Fabiana, Kalpala, Kirsi, Bing, Nan, Hu, Xinli, Laitinen, Tarja, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Smaoui, Nizar, Viollet, Coralie, Eaton, Susan, Chen, Hubert, Pendergrass, Rion, Bowers, Natalie, Betts, Joanna, Auro, Kirsi, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Niiranen, Teemu, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Kähönen, Mika, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Laukkanen, Jari, Elliott, Amanda, Reeve, Mary Pat, Ruotsalainen, Sanni, Paul, Dirk, Bowers, Natalie, Pendergrass, Rion, Chu, Audrey, Auro, Kirsi, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Miller, Melissa, Meretoja, Tuomo, Joensuu, Heikki, Carpén, Olli, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Auvinen, Päivi, Elenius, Klaus, Schleutker, Johanna, Pitkänen, Esa, Mars, Nina, Daly, Mark, Popovic, Relja, Waring, Jeffrey, Riley-Gillis, Bridget, Lehtonen, Anne, Fabre, Margarete, Schutzman, Jennifer, Bowers, Natalie, Pendergrass, Rion, Kulkarni, Diptee, Auro, Kirsi, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A., Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Pitkänen, Esa, Liu, Mengzhen, Runz, Heiko, Loomis, Stephanie, Strauss, Erich, Bowers, Natalie, Chen, Hao, Pendergrass, Rion, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Smaoui, Nizar, Rahimov, Fedik, Lehtonen, Anne, Choy, David, Pendergrass, Rion, Waterworth, Dawn, Kalpala, Kirsi, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Pendergrass, Rion, Laivuori, Hannele, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Kettunen, Johannes, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Reeve, Mary Pat, Daly, Mark, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Liu, Mengzhen, Riley-Gillis, Bridget, Pendergrass, Rion, Kumar, Janet, Auro, Kirsi, Hovatta, Iiris, Chen, Chia-Yen, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Salminen, Eveliina, Rahikkala, Elisa, Kettunen, Johannes, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Ripatti, Samuli, Daly, Mark, Karjalainen, Juha, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della Briotta Parolo, Pietro, Zhou, Wei, Maasha, Mutaamba, Hassan, Shabbeer, Lemmelä, Susanna, Rivas, Manuel, Palotie, Aarno, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Laivuori, Hannele, Tukiainen, Taru, Reeve, Mary Pat, Heyne, Henrike, Mars, Nina, Rämö, Joel, Saarentaus, Elmo, Ollila, Hanna, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Elliott, Amanda, Kristiansson, Kati, Arvas, Mikko, Hyvärinen, Kati, Ritari, Jarmo, Carpén, Olli, Kettunen, Johannes, Pylkäs, Katri, Sliz, Eeva, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Mannermaa, Arto, Laakkonen, Eija, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Kallio, Lila, Wahlfors, Tiina, Partanen, Jukka, Punkka, Eero, Serpi, Raisa, Siltanen, Sanna, Kosma, Veli-Matti, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Cooper, Helen, Öller, Denise, Leinonen, Rasko, Palin, Henna, Linna, Malla-Maria, Kurki, Mitja, Karjalainen, Juha, Della Briotta Parolo, Pietro, Lehisto, Arto, Mehtonen, Juha, Zhou, Wei, Kanai, Masahiro, Maasha, Mutaamba, Zheng, Zhili, Laivuori, Hannele, Havulinna, Aki, Lemmelä, Susanna, Kiiskinen, Tuomo, Lahtela, L. Elisa, Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Dada, Oluwaseun Alexander, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Ruotsalainen, Sanni, Donner, Kati, Sipilä, Timo P., Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Kristiansson, Kati, Lemmelä, Susanna, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Palta, Priit, Luo, Shuang, Laitinen, Tarja, Reeve, Mary Pat, Padmanabhuni, Shanmukha Sampath, Niemi, Marianna, Siirtola, Harri, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Tammerluoto, Jyrki, Hautalahti, Marco, Mäkelä, Johanna, Smith, Sarah, Southerington, Tom, Lehto, Petri, Niiranen, Teemu, Sanna-Cherchi, Simone, Bauer, Kenneth A., Haj, Amelia, Choi, Seung Hoan, Palotie, Aarno, Daly, Mark, Ellinor, Patrick T., and Bendapudi, Pavan K.

Abstract

•Population-scale genomics (N = 937 939) allowed assembly of a large FVL/PTGM double-heterozygous cohort while mitigating ascertainment bias.•FVL/PTGM DH appeared to be more common than FVL homozygosity and conferred a similar risk of venous thrombosis.

Published
2024
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43. Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks

Author

Ding, Zhihao, Shi, Jieming, Li, Qing, Cao, Jiannong, Ding, Zhihao, Shi, Jieming, Li, Qing, and Cao, Jiannong

Abstract

We study illicit account detection on transaction networks of cryptocurrencies that are increasi_testngly important in online financial markets. The surge of illicit activities on cryptocurrencies has resulted in billions of losses from normal users. Existing solutions either rely on tedious feature engineering to get handcrafted features, or are inadequate to fully utilize the rich semantics of cryptocurrency transaction data, and consequently, yield sub-optimal performance. In this paper, we formulate the illicit account detection problem as a classification task over directed multigraphs with edge attributes, and present DIAM, a novel multi-graph neural network model to effectively detect illicit accounts on large transaction networks. First, DIAM includes an Edge2Seq module that automatically learns effective node representations preserving intrinsic transaction patterns of parallel edges, by considering both edge attributes and directed edge sequence dependencies. Then utilizing the multigraph topology, DIAM employs a new Multigraph Discrepancy (MGD) module with a well-designed message passing mechanism to capture the discrepant features between normal and illicit nodes, supported by an attention mechanism. Assembling all techniques, DIAM is trained in an end-to-end manner. Extensive experiments, comparing against 14 existing solutions on 4 large cryptocurrency datasets of Bitcoin and Ethereum, demonstrate that DIAM consistently achieves the best performance to accurately detect illicit accounts, while being efficient. For instance, on a Bitcoin dataset with 20 million nodes and 203 million edges, DIAM achieves F1 score 96.55%, significantly higher than the F1 score 83.92% of the best competitor. The code is available at https://github.com/TommyDzh/DIAM.

Published
2023

45. Figure S4 Cellular uptake and nuclear localization of PIPs. from Targeting Polo-like Kinase 1 by a Novel Pyrrole-Imidazole Polyamide–Hoechst Conjugate Suppresses Tumor Growth In Vivo

Author

Liu, Ke, primary, Fang, Lijing, primary, Sun, Haiyan, primary, Pan, Zhengyin, primary, Zhang, Jianchao, primary, Chen, Juntao, primary, Shao, Ximing, primary, Wang, Wei, primary, Tan, Yuanyan, primary, Ding, Zhihao, primary, Ao, Lijiao, primary, Wu, Chunlei, primary, Liu, Xiaoqi, primary, Li, Huashun, primary, Wang, Rui, primary, Su, Wu, primary, and Li, Hongchang, primary

Published
2023
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46. Figure S1 Effect of PIP3 on TNF-α induced IL6 and IL8 expression. from Targeting Polo-like Kinase 1 by a Novel Pyrrole-Imidazole Polyamide–Hoechst Conjugate Suppresses Tumor Growth In Vivo

Author

Liu, Ke, primary, Fang, Lijing, primary, Sun, Haiyan, primary, Pan, Zhengyin, primary, Zhang, Jianchao, primary, Chen, Juntao, primary, Shao, Ximing, primary, Wang, Wei, primary, Tan, Yuanyan, primary, Ding, Zhihao, primary, Ao, Lijiao, primary, Wu, Chunlei, primary, Liu, Xiaoqi, primary, Li, Huashun, primary, Wang, Rui, primary, Su, Wu, primary, and Li, Hongchang, primary

Published
2023
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47. Movie S3 from Targeting Polo-like Kinase 1 by a Novel Pyrrole-Imidazole Polyamide–Hoechst Conjugate Suppresses Tumor Growth In Vivo

Author

Liu, Ke, primary, Fang, Lijing, primary, Sun, Haiyan, primary, Pan, Zhengyin, primary, Zhang, Jianchao, primary, Chen, Juntao, primary, Shao, Ximing, primary, Wang, Wei, primary, Tan, Yuanyan, primary, Ding, Zhihao, primary, Ao, Lijiao, primary, Wu, Chunlei, primary, Liu, Xiaoqi, primary, Li, Huashun, primary, Wang, Rui, primary, Su, Wu, primary, and Li, Hongchang, primary

Published
2023
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48. Figure S3 Time-dependent cellular uptake of PIP3. from Targeting Polo-like Kinase 1 by a Novel Pyrrole-Imidazole Polyamide–Hoechst Conjugate Suppresses Tumor Growth In Vivo

Author

Liu, Ke, primary, Fang, Lijing, primary, Sun, Haiyan, primary, Pan, Zhengyin, primary, Zhang, Jianchao, primary, Chen, Juntao, primary, Shao, Ximing, primary, Wang, Wei, primary, Tan, Yuanyan, primary, Ding, Zhihao, primary, Ao, Lijiao, primary, Wu, Chunlei, primary, Liu, Xiaoqi, primary, Li, Huashun, primary, Wang, Rui, primary, Su, Wu, primary, and Li, Hongchang, primary

Published
2023
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49. Data from Targeting Polo-like Kinase 1 by a Novel Pyrrole-Imidazole Polyamide–Hoechst Conjugate Suppresses Tumor Growth In Vivo

Author

Liu, Ke, primary, Fang, Lijing, primary, Sun, Haiyan, primary, Pan, Zhengyin, primary, Zhang, Jianchao, primary, Chen, Juntao, primary, Shao, Ximing, primary, Wang, Wei, primary, Tan, Yuanyan, primary, Ding, Zhihao, primary, Ao, Lijiao, primary, Wu, Chunlei, primary, Liu, Xiaoqi, primary, Li, Huashun, primary, Wang, Rui, primary, Su, Wu, primary, and Li, Hongchang, primary

Published
2023
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50. Figure S7 PIP3 treatment does not affect mitotic progression in nontransformed cells. from Targeting Polo-like Kinase 1 by a Novel Pyrrole-Imidazole Polyamide–Hoechst Conjugate Suppresses Tumor Growth In Vivo

Author

Liu, Ke, primary, Fang, Lijing, primary, Sun, Haiyan, primary, Pan, Zhengyin, primary, Zhang, Jianchao, primary, Chen, Juntao, primary, Shao, Ximing, primary, Wang, Wei, primary, Tan, Yuanyan, primary, Ding, Zhihao, primary, Ao, Lijiao, primary, Wu, Chunlei, primary, Liu, Xiaoqi, primary, Li, Huashun, primary, Wang, Rui, primary, Su, Wu, primary, and Li, Hongchang, primary

Published
2023
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