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 · 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

• A systems-level analysis of the mutually antagonistic roles of RKIP and BACH1 in dynamics of cancer cell plasticity.

  PMID 37963558 · PMC10645512 · Journal of the Royal Society, Interface · 2023 · 8 claims · 7 setups

  Has reproduction · 95

  RKIP and BACH1 are negatively correlated with each other across most cancer types in TCGA

  tcga er+ ccle computational spearman correlation gene

• Unveiling prognostics biomarkers of tyrosine metabolism reprogramming in liver cancer by cross-platform gene expression analyses.

  PMID 32542016 · PMC7295234 · PloS one · 2020 · 7 claims · 8 setups

  Has reproduction · 51

  Five tyrosine catabolic enzymes (TAT, HPD, HGD, GSTZ1, FAH) are downregulated in HCC compared to normal liver at mRNA and/or protein level

  oncomine tcga-lihc gse89377 hcc pan-cancer bulk microarray

• Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.

  PMID 38322112 · PMC10846924 · International journal of clinical practice · 2024 · 8 claims · 8 setups

  Has reproduction · 71

  AML cases can be categorized into two distinct PANRG (PANoptosis-related gene) clusters with differentially expressed prognostic genes (PRDEGs)

  aml hovon cancer tcga bulk consensus machine