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).

• PAH-former: Transfer learning for efficient discovery of pulmonary arterial hypertension-associated genes.

  PMID 41790620 · PMC12965534 · PloS one · 2026 · 7 claims · 7 setups

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  PAH-former, a Geneformer model fine-tuned on public PAH scRNA-seq data, can perform in silico perturbation to identify and rank candidate PAH disease-associated genes

  pah scrna-seq pah-former candidate scrna-seq transfer perturbation

• 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

• scArchon: a scalable benchmarking framework for assessing single-cell perturbation models.

  PMID 42121287 · PMC13162514 · Genome biology · 2026 · 8 claims · 8 setups

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  scArchon is a reproducible, modular, Snakemake-based benchmarking platform that evaluates perturbation response prediction tools in a standardized, containerized, extensible manner.

  pbmcs epithelial liver glioblastoma scrna-seq gene dimensionality

• CCL3+ Neutrophil Signature Predicts Response to Neoadjuvant Toripalimab plus Chemotherapy in Patients with Hypopharyngeal Squamous Cell Carcinoma: A Phase II Trial.

  PMID 41817286 · PMC13223550 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2026 · 7 claims · 8 setups

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  A proinflammatory, CCL3-high neutrophil subset (Neu_CCL3) is significantly enriched in the pretreatment tumor microenvironment of patients who respond to nCIT.

  pretreatment microarray cohorts moc1 single-cell bulk immunohistochemistry