Top 40
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Single-cell
Learned models link chromatin accessibility and transcriptomes across single-cell data
Learned representations are increasingly used to predict, translate and interpret single-cell regulatory and expression layers across modalities.
Genomics
Validating computational steps that turn raw sequencing reads into measurements
Recent preprints expose artifact-producing failure modes in ambient RNA removal, chimeric nanopore reads, and TE quantification.
Single-cell
Spatial and multiomic methods infer cell states, communication and regulatory programs
Single-cell and spatial methods now link chromatin, neighborhood, and communication context to regulatory inference across published and preprint studies.
Epigenomics
Methods resolve repeat, isoform, allelic, and 3D genome regulation across cells
Recent computational frameworks address repeat-aware quantification, single-cell full-length RNA, allelic expression, and 3D genome prediction.
ML / AI methods
Open matched multimodal resources link tissue spatial features to clinical outcomes
Open spatial and H&E-derived resources now allow tissue-level features to be tested against clinical outcomes and drug response.