206 results on '"Raimondi, Daniele"'
Search Results
2. A python library for the fast and scalable computation of biologically meaningful individual specific networks
3. Biologically meaningful genome interpretation models to address data underdetermination for the leaf and seed ionome prediction in Arabidopsis thaliana
4. How good Neural Networks interpretation methods really are? A quantitative benchmark
5. Gene regulatory network analysis identifies MYL1, MDH2, GLS, and TRIM28 as the principal proteins in the response of mesenchymal stem cells to Mg2+ ions
6. Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn’s disease patients
7. Large sample size and nonlinear sparse models outline epistatic effects in inflammatory bowel disease
8. PyUUL provides an interface between biological structures and deep learning algorithms
9. Critical assessment of missense variant effect predictors on disease-relevant variant data
10. Data-driven probabilistic definition of the low energy conformational states of protein residues.
11. MetDecode: methylation-based deconvolution of cell-free DNA for noninvasive multi-cancer typing.
12. Current cancer driver variant predictors learn to recognize driver genes instead of functional variants
13. Nonlinear data fusion over Entity–Relation graphs for Drug–Target Interaction prediction
14. Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysis
15. Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index
16. Editorial: Towards genome interpretation: Computational methods to model the genotype-phenotype relationship
17. Large-scale in-silico statistical mutagenesis analysis sheds light on the deleteriousness landscape of the human proteome
18. Leveraging structural, evolutionary and contextual information to develop explainable models for deleterious variant prediction.
19. Investigating the Molecular Mechanisms Behind Uncharacterized Cysteine Losses from Prediction of Their Oxidation State
20. Prediction of Disordered Regions in Proteins with Recurrent Neural Networks and Protein Dynamics
21. Fast and accurate inference of gene regulatory networks through robust precision matrix estimation
22. HPMPdb: A machine learning-ready database of protein molecular phenotypes associated to human missense variants
23. From genotype to phenotype inArabidopsis thaliana:in-silicogenome interpretation predicts 288 phenotypes from sequencing data
24. Critical assessment of protein intrinsic disorder prediction
25. Additional file 2 of Current cancer driver variant predictors learn to recognize driver genes instead of functional variants
26. B2bTools: Online predictions for protein biophysical features and their conservation
27. b2bTools: online predictions for protein biophysical features and their conservation
28. In silico prediction of in vitro protein liquid–liquid phase separation experiments outcomes with multi-head neural attention
29. COVID-19 in people with multiple sclerosis:A global data sharing initiative
30. ShiftCrypt: a web server to understand and biophysically align proteins through their NMR chemical shift values
31. A novel method for data fusion over entity-relation graphs and its application to protein–protein interaction prediction
32. On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks
33. COVID-19 in people with multiple sclerosis: A global data sharing initiative
34. First record of Turkish Gecko Hemidactylus turcicus (Linnaeus, 1758) populations for Piedmont, Italy (Sauria Gekkonidae)
35. Prediction of disordered regions in proteins with recurrent Neural Networks and protein dynamics
36. ShiftCrypt: a web server to understand and biophysically align proteins through their NMR chemical shift values
37. Can herd immunity be achieved without breaking ICUs?
38. Su1880 MACHINE LEARNING APPROACHES VALIDATE SEROLOGICAL MARKERS FOR EARLY AND DIFFERENTIAL DIAGNOSIS
39. Insight into the protein solubility driving forces with neural attention
40. Modeling the COVID-19 outbreaks and the effectiveness of the containment measures adopted across countries
41. An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients
42. Accurate prediction of protein beta-aggregation with generalized statistical potentials
43. Author Correction: Exploring the Sequence-based Prediction of Folding Initiation Sites in Proteins
44. Ultra-fast global homology detection with Discrete Cosine Transform and Dynamic Time Warping
45. Accurate prediction of protein beta-aggregation with generalized statistical potentials.
46. Ultra-fast global homology detection with Discrete Cosine Transform and Dynamic Time Warping
47. Exploring the Sequence-based Prediction of Folding Initiation Sites in Proteins
48. Understanding combinatorial effects of variants using machine learning and DIDA, the DIgenic diseases Database
49. DEOGEN2: prediction and interactive visualisation of SingleAmino Acid Variant deleteriousness in human proteins
50. Understanding mutational effects in digenic diseases
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