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

• 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

• 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

• TiRank prioritizes phenotypic niches in tumor microenvironment for clinical biomarker discovery.

  PMID 41689080 · PMC12910759 · Genome medicine · 2026 · 7 claims · 4 setups

  Full-text index only

  TiRank is a framework that integrates scRNA-seq, ST, and bulk transcriptomes using an REO-transformation module and multitask transfer learning to align data into a unified embedding space for prioritizing clinically relevant spatial niches

  benchmark pan-cancer gastric independent scrna-seq bulk spatial

• Epigenome screening highlights that JMJD6 confers an epigenetic vulnerability and mediates sunitinib sensitivity in renal cell carcinoma.

  PMID 33634984 · PMC7882098 · Clinical and translational medicine · 2021 · 8 claims · 8 setups

  Has reproduction · 85

  JMJD6 is identified as a potent epigenetic vulnerability/fitness gene in RCC by integrating GeCK CRISPR screening data with TCGA-KIRC epigenetic regulator survival analysis

  pan-cancer tcga-kirc rcc balb crispr rna-seq mtt

• SiCmiR Atlas: Single-Cell miRNA Landscape Reveals Hub-miRNA and Network Signatures in Human Cancers.

  PMID 41691474 · PMC13042402 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

  Full-text index only

  SiCmiR, a two-layer neural network, predicts mature miRNA expression profiles from only 977 LINCS L1000 landmark genes

  tcga k562 pancreatic acth-secreting paired bulk scrna-seq-based

• Deubiquitination enzyme USP35 negatively regulates MAVS signaling to inhibit anti-tumor immunity.

  PMID 40016186 · PMC11868397 · Cell death & disease · 2025 · 8 claims · 8 setups

  Has reproduction · 81

  USP35 interacts with MAVS and removes its K63-linked polyubiquitin chains, inhibiting viral-induced MAVS-TBK1-IRF3 activation and downstream inflammatory gene expression

  tumor melanoma tcga-skcm hek293t bioinformatics geo kaplan-meier

• Advances in genomic and pharmacokinetic profiling for clinical stratification of metastatic breast cancer.

  PMID 41369820 · PMC12799884 · Discover oncology · 2025 · 8 claims · 8 setups

  Has reproduction · 59

  Key genes AR, AKT1, UBC, CDH1, SMAD3, ROR1, and ROR2 are associated with chemotherapy resistance and poor prognosis in metastatic breast cancer

  breast tcga-brca geo gse40622 gene pan-cancer differential

• Systematic elucidation of genetic mechanisms underlying cholesterol uptake.

  PMID 37228746 · PMC10203276 · Cell genomics · 2023 · 8 claims · 8 setups

  Full-text index only

  Genome-scale CRISPR-Cas9 knockout screening in HepG2 cells identifies 490 genes whose disruption alters LDL-C uptake

  hepg2 depmap flow genome-scale individual

• Comprehensive analysis of the causal risk factor from hypertension associated with prognosis and therapeutic response in renal cell carcinoma by multi-omics analysis and validation.

  PMID 41680825 · PMC12998095 · Biology direct · 2026 · 8 claims · 8 setups

  Full-text index only

  A 48-gene cross-species hypertension (HTN) gene module identified from human and SHR rat scRNA-seq can classify ccRCC patients into two molecular subgroups with distinct survival and targeted therapy response

  aortic spontaneously tcga icgc single-cell bulk summary-data-based

• Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.

  PMID 37691920 · PMC10485775 · Frontiers in immunology · 2023 · 8 claims · 8 setups

  Has reproduction · 55

  352 DEGs (198 up-regulated, 154 down-regulated) were identified between RPL and control endometrial samples

  endometrial degs hub decidua microarray wgcna machine

• 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

• Identification and Validation of an Autophagy-Related Gene Signature for Prognostic Prediction and Immunotherapy Response in Esophageal Squamous Cell Carcinoma.

  PMID 41681864 · PMC12897147 · Cancers · 2026 · 8 claims · 8 setups

  Full-text index only

  A 4-ARG prognostic model (NBEA, CLOCK, NLRX1, MAGEA3) built via stepwise multivariate Cox regression stratifies ESCC patients into high- and low-risk groups with significantly different survival.

  escc gse53625 gse160269 imvigor210 microarray univariate single-cell