Top 40
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ML / AI methods
Deep learning for molecular generation, property prediction and target interaction
Recent preprints and publications pair graph and transformer architectures with generative design and property prediction in drug discovery.
Genomics
Inferring regulatory activity from MPRA, knockdown and single-cell multiome readouts
Large MPRA, knockdown and multiome datasets now enable interpretable and generative models of splicing and enhancer regulation across cell types and species.
Single-cell
Generative and mechanistic models partition latent variation in single-cell omics data
Single-cell and spatial models increasingly separate biological factors such as cell cycle, perturbation, and trajectory effects.
Tools & infrastructure
Tools and curated resources sharpen microbiome taxonomic and functional profiling
Recent work pairs new pipelines, curated reference databases, and consensus statistics to reduce error in microbiome profiling.
ML / AI methods
Learned models link histology images to tissue structure and spatial gene expression
Label scarcity, batch effects and limited resolution are being addressed with weak supervision and cross-modal priors in pathology and spatial omics.