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).
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Full-text index only
A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection.
PMID 19828085 · PMC2762074 · BMC bioinformatics · 2009 · 7 claims · 1 setups
A scale-space based unsupervised feature extraction method combined with SVM classification achieves high accuracy in ovarian cancer detection from serum mass spectra.
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Has reproduction · 83
Gene-expression patterns in peripheral blood classify familial breast cancer susceptibility.
PMID 26538066 · PMC4634735 · BMC medical genomics · 2015 · 8 claims · 7 setups
A multigene expression biomarker from PBMCs accurately classifies familial breast cancer (FBC) status
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Full-text index only
Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.
PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups
Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions
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Has reproduction · 67
Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility.
PMID 26969729 · PMC4812528 · Molecular systems biology · 2016 · 8 claims · 6 setups
Cell adhesion pathways are significantly and consistently dysregulated in women who develop familial breast cancer (FBC)
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Has reproduction · 84
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
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