Top 40
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ML / AI methods
Biological priors and attribution shape predictive models for drug and gene discovery
Recent preprints and publications pair learned models with biological structure, attribution, or perturbation atlases for prediction.
Single-cell
Single-cell multiomics methods pair integration with scale and cross-species transfer
Current single-cell tools couple multimodal integration with explicit scale, ground-truth benchmarking, and cross-species transfer.
Single-cell
New methods sharpen cell-level and spatial transcriptomic measurements
Multimodal single-cell and spatial datasets now demand models that correct measurement error, confounding, and misassigned transcripts.
Proteomics
Computational methods probe ambiguous proteoform and isoform assignment in proteomics
Open-search and probabilistic models now address whether peptides map to specific proteoforms, given ambiguity in MS-based identity.
ML / AI methods
Sequence models decode antibody, TCR, and peptide-HLA immune recognition
Pretrained and interpretable sequence models now span antibody, TCR, and peptide-HLA recognition, with generative and longitudinal extensions.