Top 40
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ML / AI methods
Biological structure scaffolds interpretable ML across drug, genomic and perturbation data
Explainable models over epigenomic, graph and perturbation data increasingly yield attributions for individual patients and integration sites.
Single-cell
Single-cell multiomics tools link regulatory layers across modalities and scale
Paired single-cell modalities and atlas-scale resources are being combined into integrated analysis frameworks.
Proteomics
Computational methods resolve proteoform and substitution ambiguity in proteomics data
Open-search, probabilistic, and detectability-planning tools now quantify proteoform ambiguity in AD brain and DIA proteomics data.
ML / AI methods
Foundation models learn antibody, TCR, and peptide-HLA binding from sequence data
Recent preprints report pretrained and interpretable models matching peptide-HLA affinity benchmarks and tracking vaccine-induced TCR dynamics.
Systems biology
Mechanistic network models tie circuit architecture to bursting and feature binding
Bottom-up circuit models now resolve how bursting, synchrony, and hierarchical feature binding arise from connectivity and dynamics.