7,066 results on '"bioinformatics"'
Search Results
2. Marker gene fishing for single-cell data with complex heterogeneity.
3. Predicting Mouse Lifespan-Extending Chemical Compounds with Machine Learning.
4. Counterfactual Diffusion Models for Mechanistic Explainability of Artificial Intelligence Models in Pathology.
5. High-accuracy prediction of 5-year progression-free melanoma survival using spatial proteomics and few-shot learning on primary tissue.
6. Unified Analysis of Multi-order Tensors for Integrative Molecular Profiling.
7. A Bayesian Framework for Genome-wide Circadian Rhythmicity Biomarker Detection.
8. CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer.
9. DSA-DeepFM: A Dual-Stage Attention-Enhanced DeepFM Model for Predicting Anticancer Synergistic Drug Combinations.
10. A Transformer-Based Approach to Survival Outcome Prediction (Updated November 4, 2024).
11. SenSeqNet: A Deep Learning Framework for Cellular Senescence Detection from Protein Sequences.
12. Ligand Identification in CryoEM and X-ray Maps Using Deep Learning (Updated November 1, 2024).
13. Target-specific design of drug-like PPI inhibitors via hot-spot-guided generative deep learning.
14. Smile-to-Bert: A BERT architecture trained for physicochemical properties prediction and SMILES embeddings generation.
15. Reports from East China Jiaotong University Advance Knowledge in Bioinformatics (Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training).
16. Inflammatory molecules in the glomerular endothelium in mild IgA-Nephropathy identified by single-cell and spatial transcriptome.
17. DNA methylation is a key determinant of response to targeted and immune checkpoint therapies in metastatic renal cell carcinoma.
18. Data driven refinement of gene expression signatures for enrichment analysis.
19. HALO: Hierarchical Causal Modeling for Single Cell Multi-Omics Data (Updated November 4, 2024).
20. Augmenting Transcriptome Annotations through the Lens of Splicing Evolution.
21. LETSmix: a spatially informed and learning-based domain adaptation method for cell-type deconvolution in spatial transcriptomics (Updated November 1, 2024).
22. AutoPM3: Enhancing Variant Interpretation via LLM-driven PM3 Evidence Extraction from Scientific Literature.
23. BTS: scalable Bayesian Tissue Score for prioritizing GWAS variants and their functional contexts across omics data.
24. Joint representation and visualization of derailed cell states with Decipher (Updated November 5, 2024).
25. moPepGen: Rapid and Comprehensive Identification of Non-canonical Peptides (Updated November 5, 2024).
26. Phytochemicals from Daucus carota have therapeutic potential against Triple-Negative Breast Cancer PDK1 and PLK1.
27. PMAIP1-Mediated Glucose Metabolism and its Impact on the Tumor Microenvironment in Breast Cancer: Integration of Multi-Omics Analysis and Experimental Validation.
28. Machine Learning Reveals Key Glycoprotein Mutations and Rapidly Assigns Lassa Virus Lineages (Updated November 5, 2024).
29. Mpox Vaccine Design Through Immunoinformatics and Computational Epitope Prediction.
30. Majority-LCL: Towards Malaria Cell Detection using Label Contrastive Learning and Majority voting Ensembling (Updated November 4, 2024).
31. Prediction of Adeno-Associated Virus Fitness with a Protein Language Based Machine Learning Model (Updated November 4, 2024).
32. A single-gene-based AI model to identify core and context-specific essential genes by biological interpretation from pooled genome-wide CRISPR and omics data.
33. Data from First Affiliated Hospital of Chongqing Medical University Advance Knowledge in Bioinformatics (Deciphering the oncogenic potential of ADAM9 in hepatocellular carcinoma through bioinformatics and experimental approaches).
34. Systematic dissection of epigenetic age acceleration in normal breast tissue reveals its link to estrogen signaling and cancer risk.
35. De novo clustering of extensive long-read transcriptome datasets with isONclust3.
36. Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction (Updated November 5, 2024).
37. Decoding Liver Cancer Prognosis: From Multi-omics Subtypes, Prognostic Models to Single Cell Validation.
38. RCANE: A Deep Learning Algorithm for Whole-genome Pan-Cancer Somatic Copy Number Aberration Prediction using RNA-seq Data.
39. PAIRWISE: Deep Learning-based Prediction of Effective Personalized Drug Combinations in Cancer.
40. Transcriptomic-Based Identification of FCRL6 as a Novel Diagnostic Biomarker in Diabetic Nephropathy.
41. Sample-specific network analysis identifies gene coexpression patterns of immunotherapy response in advanced kidney cancer.
42. Deep Gaussian Process with Uncertainty Estimation for Microsatellite Instability and Immunotherapy Response Prediction Based on Histology.
43. Data on Bioinformatics Detailed by Researchers at Guangzhou Medical University (Prognostic Value of Plekha4 and Its Correlation With Tumor-infiltrating Immune Cells In Breast Cancer: a Comprehensive Study Based On Bioinformatics and Clinical...).
44. Single Cell Transcriptomics Reveal Genomic Indicators of Nonalcoholic Fatty Liver Disease.
45. PreDigs: a Database of Context-specific Cell-type Markers and Precise cell subtypes for Digestive Cell Annotation.
46. University of Molise Researchers Publish Findings in Bioinformatics (Akkermansia muciniphila: new insights into resistance to gastrointestinal stress, adhesion, and protein interaction with human mucins through optimised in vitro trials and...).
47. Chengdu University of Traditional Chinese Medicine Researchers Describe New Findings in Bioinformatics (Potential diagnostic markers and therapeutic targets for non-alcoholic fatty liver disease and ulcerative colitis based on bioinformatics...).
48. Stage-specific gene ratios highlight genes and mechanisms related to presymptomatic and symptomatic Multiple Myeloma.
49. Bayesian modeling of mutual exclusivity in cancer mutations.
50. Annotating publicly-available samples and studies using interpretable modeling of unstructured metadata (Updated November 1, 2024).
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