Top 40
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ML / AI methods
Biological priors constrain deep learning for expression, lethality and drug response
Curated ontologies, PPI-free annotations and biomarker priors are now embedded in models for spatial, single-cell and perturbation prediction.
ML / AI methods
Graph and language-model methods predict drug, protein and RNA interactions
Seventeen Bioinformatics papers dated August 1 to 3, 2026 apply learned representations to biomolecular interaction and property prediction.
Single-cell
Computational methods infer regulatory dynamics and trajectories from single-cell data
Single-cell time series and snapshots now support inference of regulatory networks, fate trajectories, and uncertainty-aware dynamical models.
Genomics
Coverage, error rate and read depth set detection limits across genomic assays
Long-read, cfDNA, Hi-C and UMI datasets are driving benchmarks that quantify how depth and error rates bound variant and structural detection.
Tools & infrastructure
Interface-driven tools wrap established algorithms for accessible, reproducible analysis
Recent papers package pangenome, selection, and expression analyses into browser-based or automated tools.