Top 40
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ML / AI methods
Graph and foundation models fuse spatial, omic and imaging inputs into shared embeddings
Spatial and single-cell foundation models now integrate multiple assays and imaging modalities within single learned representations.
ML / AI methods
Protein language models extend to interactions, modifications, enzymes, and peptides
Recent preprints and publications apply protein and peptide language models to interaction, modification, and variant prediction tasks.
Genomics
Comparative genomics ties regulatory evolution to lineage-specific innovation
Cross-species regulatory maps now resolve conserved non-coding elements, lncRNA orthologs, and gene regulatory networks at scale.
Systems biology
Attribution, perturbation and long-read methods ground regulatory epigenomic inference
Long-read, single-cell and deep-learning approaches now link chromatin state, enhancers and splicing to variant and expression effects.
Systems biology
New computational methods extract pathway and cell-interaction inference from omics data
Recent preprints test pathway, spatial, and single-cell omics methods for reliability under cohort shift, benchmarking, and multi-omics network extension.