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).

• DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction.

  PMID 41417875 · PMC12795466 · PLoS computational biology · 2025 · 7 claims · 5 setups

  Has reproduction

  DAGFormer constructs cellular neighbor graphs using diverse topological strategies to represent intercellular interactions for drug response prediction

  pan-cancer jhu006 scc47 pc9 bulk scrna-seq

• Illuminating cell states by a comprehensive and interpretable single cell foundation model.

  PMID 41839876 · PMC13139411 · Nature communications · 2026 · 6 claims · 6 setups

  Full-text index only

  CellVQ, incorporating a Single-Cell Discretization (SCD) module that converts cell embeddings into a discrete 'cell code' via a unified codebook, mitigates data heterogeneity and batch effects while improving interpretability

  pancreas sampled bulk lines scrna-seq type property

• Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.

  PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups

  Has reproduction · 81

  SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains

  pan-cancer pc9 451lu a375 bulk scrna-seq computational