Top 40
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Single-cell
Ontology, network and causal priors are encoded directly into omics inference models
Preprints and publications increasingly encode ontology, network, and causal priors within single-cell and multi-omics inference objectives.
ML / AI methods
Structured prior knowledge integrated into learned models for drug and gene prediction
Recent work pairs graph, language, and knowledge-base representations with built-in attribution for drug, target, and gene prediction.
Single-cell
Technical bias and annotation validity in scRNA-seq workflows
Diagnostic tools now expose coverage bias, annotation errors and integration sensitivity before downstream single-cell interpretation.
Genomics
Computational tools resolve viral variants from epistatic, antigenic, and mixture data
Epistatic coupling, antigenic cartography, and mixture quantification now provide variant-level readouts across SARS-CoV-2, influenza A, and HIV-1.
Epigenomics
Computational methods infer regulatory activity from chromatin, expression and sequence…
Computational tools now tie sequence, chromatin contacts and accessibility to expression, refining regulatory element annotation across diverse datasets.