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).

• 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

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

  PMID 41417875 · PMC12795466 · PLoS computational biology · 2025 · 7 claims · 4 setups

  Has reproduction

  DAGFormer, a graph-based domain adaptation framework integrating bulk and scRNA-seq data, predicts single-cell drug responses more accurately than existing methods.

  pan-can jhu006 pc9 a375 bulk scrna-seq

• scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.

  PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk

• Comprehensive analysis of peroxisome proliferator-activated receptors to predict the drug resistance, immune microenvironment, and prognosis in stomach adenocarcinomas.

  PMID 38529307 · PMC10962337 · PeerJ · 2024 · 8 claims · 8 setups

  Has reproduction · 58

  PPARA, PPARD and PPARG are more abnormally expressed in STAD samples and cell lines compared to most of 32 cancer types in TCGA

  cancer tcga-stad stomach ges1 rna-seq pearson gsva

• Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature.

  PMID 37076665 · PMC10115855 · NPJ precision oncology · 2023 · 8 claims · 8 setups

  Has reproduction · 50

  A convergent-phenotype-based seed gene/co-expression method can extract consensus gene expression signatures predictive of response to chemotherapeutic drugs in the GDSC database

  epithelial-based tcga gdsc muscle-invasive differential co-expression signature