Top 40
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Transcriptomics
Models infer spatial gene activity and causality from histology and spatial…
Spatial transcriptomics and histology datasets are now paired with causal, pathway-level and reproducibility-focused computational frameworks.
Genomics
Refined statistical frameworks sharpen genetic association and heritability estimates
Biobank-scale cohorts and multi-omics data demand association methods that model epistasis, multitrait structure and gene-level evidence.
ML / AI methods
Pretrained protein language model embeddings reused as searchable, aligned representations
Recent work applies protein language model embeddings to function prediction, interaction prediction, and retrieval across protein and single-cell data.
Structural bio & protein design
ML and physics-based methods predict molecular recognition and expose docking limits
Learned scoring models are being coupled to physics-based sampling while benchmarks increasingly document where all-atom and docking tools fail.
Tools & infrastructure
Scalable tools for spatial omics, mass spectrometry, and circadian analysis
Recent preprints and publications release scalable tools for spatial transcriptomics, HRMS peak picking, and interactive omics embedding exploration.