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
BRCA1 mutations in southern England.
PMID 9649133 · PMC2150412 · British journal of cancer · 1998 · 7 claims · 4 setups
Early age of onset combined with a strong family history is the most effective selection criterion for detecting BRCA1 mutations, more so than bilaterality alone
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Characteristics of small breast and/or ovarian cancer families with germline mutations in BRCA1 and BRCA2.
PMID 10188893 · PMC2362698 · British journal of cancer · 1999 · 7 claims · 7 setups
Presence of at least one ovarian cancer case in a small family strongly predicts finding a BRCA1 or BRCA2 mutation.
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Prevalence of BRCA1 in a hospital-based population of Dutch breast cancer patients.
PMID 10952774 · PMC2363536 · British journal of cancer · 2000 · 8 claims · 5 setups
The estimated prevalence of BRCA1 mutations in the general Dutch breast cancer population is 2.1%
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Abnormality of the DNA double-strand-break checkpoint/repair genes, ATM, BRCA1 and TP53, in breast cancer is related to tumour grade.
PMID 15138484 · PMC2409464 · British journal of cancer · 2004 · 8 claims · 4 setups
High-grade breast tumours show a high frequency of LOH and/or abnormal expression of ATM, BRCA1 and TP53
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BRCA1 and BRCA2 mutations in Turkish breast/ovarian families and young breast cancer patients.
PMID 10952777 · PMC2363542 · British journal of cancer · 2000 · 7 claims · 4 setups
11 mutations (9 BRCA1, 2 BRCA2) were identified across 105 Turkish patients using combined PTT, sequencing, and heteroduplex analysis.
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Has reproduction · 81
SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering.
PMID 39775401 · PMC11709272 · PloS one · 2025 · 8 claims · 5 setups
SEMdag() is a two-step order-based algorithm for fast learning of high-dimensional linear SEMs, using knowledge-based (KB) or data-driven bottom-up (BU) node/layer ordering followed by penalized (L1) DAG estimation
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Are gene expression microarray analyses reliable? A review of studies of retinoic acid responsive genes.
PMID 15626329 · PMC5171945 · Genomics, proteomics & bioinformatics · 2003 · 6 claims · 8 setups
Published microarray studies aiming to identify RA-responsive genes show substantial, often contradictory, differences in results across research groups.