Top 40
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Transcriptomics
Computational models infer spatial gene regulation and pathway activity from tissue data
Spatial transcriptomics and histology now support explicit models of gene regulation, pathway activity, and RNA organization at cell resolution.
Structural bio & protein design
ML and physics-based methods advance binding affinity and docking prediction
Recent preprints and papers pair deep learning and quantum-classical methods with docking and structure benchmarks to improve binding prediction.
Transcriptomics
Computational tools integrate spatial omics layers to infer localization and expression
Recent spatial omics items address quality control, cross-platform integration, and localization inference from organelle and spatial proteomics data.
ML / AI methods
Graph and language models predict biomedical associations from sequence and structure
Recent benchmarks test pretrained genomic language models and graph predictors against task-specific methods on RNA, drug and single-cell tasks.
Systems biology
Structured low-dimensional models link multi-omic and microbiome data to phenotypes
Interpretable, structure-constrained models are being applied to heterogeneous multi-omic and microbial datasets to decode phenotypes.