Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
ML / AI methods
Deep models predict regulatory, mutational, and drug-response outcomes from omics data
Transformer and CNN architectures now predict regulatory, mutational, and drug-response endpoints from sequence and multi-omics inputs in recent preprints and…
Single-cell
Learned models decode cell states and spatial organization from single-cell omics
Foundation-scale embeddings and interpretable AI models now span cell embedding, segmentation, deconvolution and spatial reconstruction.
Genomics
Multi-layer data integration sharpens causal variant, gene, and biomarker inference
Recent work pairs GWAS summary statistics, plasma proteomics, and disease transcriptomes with explicit causal and interpretable integrative models.
Transcriptomics
Transcriptomic tools benchmarked against established references and orthogonal data
Recent work pairs new normalization, differential expression and quantification tools with explicit validation against established references.
Tools & infrastructure
Network and topological frameworks link phosphosites and proteomes to function
Network-based tools now couple phosphoproteomic, proteomic, and transcriptomic data to interpretable regulatory and interaction maps for precision medicine.