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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Has reproduction · 83
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
Twenty-two genes lie at the intersection of AFB1-predicted targets and breast cancer-associated co-expression modules/DEGs
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Systems biology in human health and disease.
PMID 17893698 · PMC2013921 · Molecular systems biology · 2007 · 8 claims · 5 setups
High-throughput quantitative proteomics of signaling networks (e.g., HER2 overexpression) can be correlated with biological responses like proliferation and migration to better understand pathways deregulated in cancer.
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Has reproduction · 48
Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.
PMID 35143511 · PMC8830616 · PloS one · 2022 · 8 claims · 6 setups
A hybrid signature combining the Nottingham Prognostic Index with SIS-selected gene expressions can be built in a data-driven fashion (NPI treated as a gene expression during feature selection).
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Advances in breast cancer: pathways to personalized medicine.
PMID 19088015 · PMC4535810 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2008 · 8 claims · 8 setups
Germline BRCA1/BRCA2 mutations are strong predictors of breast and ovarian cancer, conferring a 40-80% lifetime risk of breast cancer
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Interpretation of genomic data: questions and answers.
PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups
The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.