Top 40
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Single-cell
Computational methods target batch effects and missing values in single-cell omics data
Recent preprints and papers address batch effects, dropout, and missing values across single-cell transcriptomic, proteomic, and spatial datasets.
ML / AI methods
Deep learning dissects sequence and chromatin determinants of gene regulation
Recent preprints and publications pair deep models with ATAC-seq, CAGE, Kd, MPRA, and eQTL data to map regulatory sequence logic in more detail.
ML / AI methods
LLM agents generate and validate code for bioinformatics and biological discovery
Recent preprints and Nature papers report LLM agents that automate bioinformatics, nanopore analysis, and scientific software development.
Single-cell
Models recover cell-state transitions from snapshot single-cell and spatial profiles
Snapshot single-cell and spatial data now support dynamics inference without repeated measurements of the same cell.
Structural bio & protein design
Conformational ensembles guiding ligand and allosteric site selection for drug design
Recent work pairs MD-derived ensembles with ligand and allosteric-site selection, tested against binding free energy benchmarks, RNA-ligand docking, and…