Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Cross-species prediction reveals chromatin regions with increased accessibility in humans.

  PMID 41984952 · PMC13082337 · Science advances · 2026 · 8 claims · 8 setups

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  CNNs trained exclusively on human ATAC-seq data achieve cross-species prediction performance in chimpanzees and macaques comparable to species-specific models

  lymphoblastoid prefrontal six chimpanzee bulk single-cell cnn

• Differentiation in the human urothelia is defined by distinct alternative polyadenylation.

  PMID 41533515 · PMC12937501 · Cell reports · 2026 · 8 claims · 8 setups

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  APA introduces a major layer of transcriptomic diversity during urothelial differentiation, largely independent of changes in mRNA levels

  urothelial urothelial-specific ureter hek293t single-cell poly fluorescence

• Cis-regulatory evolution shapes facial diversity in birds and mammals.

  PMID 42090501 · PMC13148318 · Science advances · 2026 · 8 claims · 6 setups

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  Mesenchymal populations show markedly greater transcriptomic/regulatory divergence between mouse and chicken than ectodermal populations, pointing to a central role of mesenchyme in shaping facial morphology

  embryo chicken embryos single-cell situ cross-species

• CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions.

  PMID 41498638 · PMC12948241 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  CellPolaris is a unified computational framework performing TF-centered GRN construction, master TF identification, and TF perturbation simulation

  bulk previously round paired transfer-learning cross-species

• GRNFormer: accurate gene regulatory network inference using graph transformer.

  PMID 41883144 · PMC13069479 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  GRNFormer is a generalizable graph transformer framework for GRN inference from single-cell or bulk transcriptomics data across species, cell types, and platforms without cell-type annotations or prior regulatory information

  hematopoietic embryonic dendritic hepatocytes scrna-seq chip-seq string

• Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.

  PMID 41980945 · PMC13250166 · Nature communications · 2026 · 8 claims · 8 setups

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  Hi-Compass predicts cell-type-specific Hi-C contact maps using only ATAC-seq as cell-type-specific input, plus DNA sequence and a generalized CTCF binding profile

  gm12878 curated bulk training hi-c ctcf matched