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
Decision forest analysis of 61 single nucleotide polymorphisms in a case-control study of esophageal cancer; a novel method.
PMID 16026601 · PMC1637030 · BMC bioinformatics · 2005 · 8 claims · 2 setups
DF-SNPs, a novel adaptation of the Decision Forest method, can classify esophageal cancer cases vs. controls based on SNP genotype data with high concordance, sensitivity, and specificity.
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Full-text index only
Heterogeneity of p53 mutational status in esophageal squamous cell carcinoma.
PMID 9617346 · PMC5921814 · Japanese journal of cancer research : Gann · 1998 · 6 claims · 4 setups
Three of 10 esophageal squamous cell carcinomas showed heterogeneous p53 mutational status, but only within the pre-invasive (carcinoma in situ) area.
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Full-text index only
p16 mutation spectrum in the premalignant condition Barrett's esophagus.
PMID 19043591 · PMC2585012 · PloS one · 2008 · 8 claims · 6 setups
44 of 304 Barrett's esophagus patients (14.5%) had p16 mutations (47 total mutations), with a spectrum consistent with oxidative damage and chronic inflammation
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Full-text index only
Mutational inactivation of mitotic checkpoint genes, hsMAD2 and hBUB1, is rare in sporadic digestive tract cancers.
PMID 10543255 · PMC5926140 · Japanese journal of cancer research : Gann · 1999 · 6 claims · 4 setups
Mutation of the hsMAD2 gene was not observed in any of the 32 sporadic digestive tract cancers examined.
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Has reproduction · 84
AI-assisted discovery of an ethnicity-influenced driver of cell transformation in esophageal and gastroesophageal junction adenocarcinomas.
PMID 36134663 · PMC9675486 · JCI insight · 2022 · 8 claims · 8 setups
An AI-guided Boolean network approach (BoNE) models transcriptomic continuum states of normal esophagus, BE, and EAC to derive classifier gene signatures