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).

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  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

  genes cancer interpro interactome averaged cross-validation domain

• 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

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  A panel of 48 genomically characterized breast cancer cell lines can model patient tumour heterogeneity to identify biomarkers predicting response to PG-11047

  panel breast 250-gene candidate genome growth pathway

• A comprehensive modular map of molecular interactions in RB/E2F pathway.

  PMID 18319725 · PMC2290939 · Molecular systems biology · 2008 · 8 claims · 4 setups

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  A comprehensive, curated map of RB/E2F pathway molecular interactions was built using SBGN notation in CellDesigner and converted to BioPAX 2.0 format

  bladder computational curated literature transcriptome gene network

• 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

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  Growth factor signalling (EGF/HER-2/MAPK, AKT) phosphorylates the oestrogen receptor and drives development of endocrine-resistant breast cancer

  xenograft serum frozen tumour xenograft mass cdna

• Integration of text- and data-mining using ontologies successfully selects disease gene candidates.

  PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups

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  Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes

  biomedical refseq training independent text-mining data-mining candidate