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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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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25th Annual San Antonio Breast Cancer Symposium, San Antonio, Texas, USA, 10-14 December 2002 Update on preclinical and translational research.
PMID 12631391 · PMC154153 · Breast cancer research : BCR · 2003 · 8 claims · 8 setups
Growth factor signalling (EGF/HER-2/MAPK, AKT) phosphorylates the oestrogen receptor and drives development of endocrine-resistant breast cancer
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Integrating complex genomic datasets and tumour cell sensitivity profiles to address a 'simple' question: which patients should get this drug?
PMID 20003409 · PMC2799438 · BMC medicine · 2009 · 8 claims · 5 setups
A panel of 48 genomically characterized breast cancer cell lines can model patient tumour heterogeneity to identify biomarkers predicting response to PG-11047
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The continuing search for cancer-causing somatic mutations.
PMID 17319975 · PMC1851399 · Breast cancer research : BCR · 2007 · 8 claims · 3 setups
A screen of 91 breast cancers uncovered 87 somatic variants spread across 16 of the 21 genes examined
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COSMIC (the Catalogue of Somatic Mutations in Cancer): a resource to investigate acquired mutations in human cancer.
PMID 19906727 · PMC2808858 · Nucleic acids research · 2010 · 8 claims · 6 setups
COSMIC is the largest public resource for information on somatically acquired mutations in human cancer, freely available without restriction
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Integration of text- and data-mining using ontologies successfully selects disease gene candidates.
PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups
Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes
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More breast cancer genes?
PMID 11305950 · PMC138680 · Breast cancer research : BCR · 2001 · 8 claims · 7 setups
A new high-risk breast cancer gene termed BRCAX may exist on chromosome 13q, identified via CGH and linkage analysis in Nordic families