Top 40
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Single-cell
Geometry-aware models infer cell dynamics and spatial organization from single-cell data
Geometry-aware representation and flow-matching methods are being applied to spatial, trajectory, and time-lapse single-cell data.
ML / AI methods
Learned latent-space models predict perturbation and drug response from multi-omics data
A new out-of-distribution benchmark of 20 perturbation models on Perturb-seq data tests generalization beyond training distributions.
Tools & infrastructure
Single-cell and spatial atlases link cell niches and communication to disease outcomes
Integrated atlases now combine single-cell, spatial, and bulk survival data to prioritize cell interactions and niches in human tissues and cancers.
Tools & infrastructure
Integrative omics pipelines and resources for reproducible multi-dataset analysis
Public single-cell, bulk, proteomic and variant datasets are being reanalysed with standardized, shareable pipelines and curated resources.
Genomics
Chromosome-scale assemblies enable repeat, transcript and cross-species gene comparisons
Haplotype-resolved and chromosome-level references now serve as explicit targets for TE expression, transcript evidence, and pangenome comparison.