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).

• Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers.

  PMID 39779736 · PMC11711664 · Scientific reports · 2025 · 8 claims · 8 setups

  Has reproduction · 74

  540 DEGs overlap across breast, colorectal, and lung cancers out of 11,384 DEGs analyzed

  breast colorectal lung common microarray kegg protein-protein

• Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach.

  PMID 38253993 · PMC10810249 · BMC bioinformatics · 2024 · 8 claims · 8 setups

  Has reproduction · 59

  The BGWO_SA_Ens algorithm (hybrid BGWO + simulated annealing with an ensemble classifier objective function) selects predictive breast cancer biomarker genes with high classification performance

  merged gse45827 superior differential feature comparative

• Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.

  PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups

  Has reproduction · 84

  A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts

  tcga-brca triple-negative ffpe bulk univariate kaplan-meier

• CLEAN: CLustering Enrichment ANalysis.

  PMID 19640299 · PMC2734555 · BMC bioinformatics · 2009 · 8 claims · 4 setups

  Full-text index only

  The gene-specific CLEAN score improves reproducibility of cluster analysis conclusions across independent datasets compared to the traditional cluster-wide score (cwCLEAN).

  four breast combined hierarchical cluster csimm-based

• Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.

  PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups

  Has reproduction · 83

  170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions

  afb1 breast training candidate computational bulk weighted

• CD74 deficiency protects against doxorubicin cardiotoxicity through RRM2-mediated regulation of ferroptosis.

  PMID 42180553 · PMC13198236 · Acta pharmaceutica Sinica. B · 2026 · 8 claims · 8 setups

  Has reproduction · 29

  CD74 levels are elevated in plasma of DOX-exposed breast cancer patients and in DOX-challenged mouse hearts and cardiomyocytes

  plasma cd74− cardiomyocytes hearts elisa echocardiography cardiomyocyte

• Characterizing Neutrophil Subtypes in Cancer Using scRNA Sequencing Demonstrates the Importance of IL1β/CXCR2 Axis in Generation of Metastasis-specific Neutrophils.

  PMID 38358352 · PMC10903300 · Cancer research communications · 2024 · 8 claims · 7 setups

  Has reproduction · 64

  Two main neutrophil subtypes exist in primary tumors: an activated subtype sharing transcriptomic signatures with healthy neutrophils, and a tumor-specific subtype.

  colorectal sorted integrated neutrophil scrna-seq bulk immunohistochemistry

• The proteogenomic path towards biomarker discovery.

  PMID 18764911 · PMC2574627 · Pediatric transplantation · 2008 · 8 claims · 8 setups

  Full-text index only

  Serum creatinine is a widely used but non-ideal biomarker for renal transplant monitoring because it lacks specificity and sensitivity for graft injury

  renal urine breast chronic microarray immunoassay gel

• Using random walks to identify cancer-associated modules in expression data.

  PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups

  Has reproduction

  Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.

  hepatocellular breast sporadic geo gene differential interaction