Top 40
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ML / AI methods
Learned representations couple cell-gene and spatial constraints in omics analysis
Recent December 2025 preprints and publications extend learned representations to spatial, single-cell, and morphological profiling data.
Genomics
Chromosome-scale assemblies link genome architecture to size and evolutionary history
Near-complete and chromosome-scale assemblies now resolve structural variation, repeat content and centromere organisation across diverse taxa.
Single-cell
Methods correcting batch, segmentation and reference effects in single-cell analysis
Recent preprints and publications extend single-cell and spatial tools to batch-aware gene selection, transcript correction, and sample-level embeddings.
ML / AI methods
Guidance, synthesis constraints, and foundation-model priors steer molecular design
Recent preprints encode design criteria directly into generative and selection loops for protein, small-molecule, and PROTAC design.
ML / AI methods
Graph and language-model learning advance drug-target interaction prediction
Recent work pairs graph neural networks with knowledge graphs, optimal transport and language-model embeddings for scarce-label interaction prediction.