Top 40
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ML / AI methods
Biological priors as scaffolds for interpretable prediction in cancer and genomics
Explainable models over structured biological graphs and epigenomic features now operate at individual-patient and single-integration-site resolution.
ML / AI methods
Multimodal deep learning for drug-target, PPI-modulator, and enzyme kinetic prediction
Recent work pairs pretrained encoders and GNNs with interpretability and low-data or generalization strategies for interaction tasks.
Tools & infrastructure
Scalable software tools for sequencing, imaging, and single-cell data analysis
Larger sequencing, imaging, and biobank datasets push analysis tools toward on-disk processing, distributed memory, GPU use, and local deployment.
Proteomics
Computational methods resolve proteoform, glycopeptide, and isoform identity from MS data
Recent preprints and papers address proteoform detectability, glycopeptide de novo sequencing, and isoform quantification under ambiguous peptide mapping.
Single-cell