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
Identification of BRCA1 missense substitutions that confer partial functional activity: potential moderate risk variants?
PMID 18036263 · PMC2246181 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups
Revised multifactorial likelihood analysis incorporating ER, CK5/6, and CK14 tumor immunohistochemistry improves classification of BRCA1 unclassified variants
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Full-text index only
Prioritization of candidate cancer genes--an aid to oncogenomic studies.
PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups
Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes
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Full-text index only
A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.
PMID 19923232 · PMC2817484 · Nucleic acids research · 2010 · 8 claims · 7 setups
A Perl-based pipeline that BLASTs/BLATs Illumina probe sequences against genomes and transcript databases (RefSeq, UCSC Known Genes, UniGene/GenBank, Ensembl) can classify probes by quality grade (Perfect/Good/Bad/No match) and is applicable across 8 BeadArray platforms and other array types
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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
170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
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.