Bioinformatics & computational biology
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- The e14 cryptic prophage belongs to a temperate phage lineage distributed across Escherichia and retains genes with potential anti-phage defence functions
- Multi-omics analysis of high-grade serous ovarian cancers reveals heterogeneity and distinct immunological patterns based upon clinico-genomic status
- Ten simple rules for responsible use of AI and LLMs in computational biology
- Carbothioamide functionalized paroxetine analogues as antiparasitic agents targeting the hypoxanthine-guanine-xanthine phosphoribosyltransferase enzyme: Synthesis, characterization, biochemical, biophysical, and in silico studies
- Fragmented social networks promote complex behavioural contagions over infectious disease spread
- Non-Destructive Detection of Early Drought Stress via Spectral Submanifold Analysis
- Fixed-Dimensional Latent Flow for Generating Variable-Size 3D Molecules
- Learning Epidemic Threshold Equations from Simulation: REEBLRA, an Interpretable Bayesian Classification Framework for Reproduction Numbers
- Machine learning classification of fibromyalgia from blood transcriptomes: confounder benchmarking and implications for endometriosis-associated pain
- Predicting Protein-Protein Interactions Using Vectorized Sequence Descriptors and Machine Learning Classifiers
- AntiOxiPred: Predicting Antioxidant Peptides using Machine Learning Techniques and BLAST
- RFind-sc maps single cells onto biological axes defined by external gene signatures
- Using XCiMS to Quantify the Benefits of Ion Mobility Spectrometry for Untargeted Metabolomics
- NeCS-Flow: Necrosis-Guided Contrast-Enhanced MRI Synthesis with Rectified-Flow Refinement
- Cornealia: automated collective order analysis reveals density-dependent reorganization of donor corneal endothelium
- Auto-AVS: A Novel Framework for Automated Autophagic Vacuole Simulation
- Pathway-Based Analysis of Essential Metabolic Enzymes as Drug Targets
- Mapping bioimage-analysis software adoption in microscopy
- A Pipeline for Predicting Variant Associations with Complex Disorders via Functional Annotations
- Interpreting Short Tandem Repeat Variations with Plant Genomic Foundation Models in Olive
- Paired activity learning supports systematic identification of mutant-selective EGFR inhibitors
- Prediction transfer does not imply reliability transfer in single-cell foundation models
- flodl-bio: First Rust data, transformers and model layer for entire deep learning on biological sequences
- Reference-free isoform discovery links unannotated RNA processing to disease risk
- Different, same, or arrhythmic: an empirically informed benchmark of differential rhythmicity methods