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Single-cell
Deep models couple histology, transcriptomes and biological priors to predict expression
Foundation models for single-cell and spatial data are now benchmarked head-to-head, showing performance depends on task context.
Genomics
Pangenome references and haplotype-resolved assemblies sharpen variant and tumor analysis
HPRC Release 2 and VN1K expand pangenome coverage of common variation, while new tools resolve haplotypes and tumor evolutionary timing.
Transcriptomics
Multi-omic and spatial frameworks recover disease-relevant structure from transcriptomes
Paired single-cell, spatial, and cfDNA datasets now let computational methods resolve disease-linked regulatory and tissue-level structure.
Genomics
Extending GWAS and colocalization to admixed and multi-ancestry cohorts
Association and colocalization methods are being extended to admixed, related, and multi-ancestry cohorts, with calibration assessed by simulation and applied…
Single-cell
Frameworks infer signaling and perturbation responses from transcriptomic data
Benchmarked methods now convert single-cell and bulk transcriptomic data into interpretable signaling, regulatory and perturbation-response outputs.