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).

• 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

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 7 claims · 5 setups

  Has reproduction · 62

  A DNN model using the top 34 betweenness-centrality-ranked hub genes predicts bone metastasis with AUC of 92.11% on the GEO validation data.

  breast degs geo tcga gene protein-protein machine

• 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

  Twenty-two genes lie at the intersection of AFB1-predicted targets and breast cancer-associated co-expression modules/DEGs

  afb1 breast training candidate computational bulk weighted

• Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.

  PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups

  Full-text index only

  CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.

  missense same synthetic tp53 random support principal

• 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

• BRCA1 and BRCA2 missense variants of high and low clinical significance influence lymphoblastoid cell line post-irradiation gene expression.

  PMID 18497862 · PMC2375115 · PLoS genetics · 2008 · 8 claims · 6 setups

  Full-text index only

  BRCA1 and BRCA2 pathogenic mutation carriers have similar post-irradiation LCL gene expression profiles to each other, more so than to BRCAX samples without an LCS variant

  lymphoblastoid lcl gene microarray unsupervised t-test