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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doidoi:10.4225/02/4E9F69C011BC8&rft.title=Computational Model for Gene Set Analysis to predict breast cancer prognosis based on microarray gene expression data&rft.identifier=doi:10.4225/02/4E9F69C011BC8&rft.publisher=NICTA&rft.description=In this computational model to predict breast cancer prognosis based on microarray gene expression data, we use prior knowledge, in the form of pre-specified gene sets from the Molecular Signatures Database (MSigDB) dataset. We compare features derived from the gene sets with features based on individual genes, with respect to the following criteria:- discrimination: ability to predict metastasis within 5 years, both on average and its variance; stability of the ranks of individual features within datasets; concordance between the weights and ranks of features from different datasets; and the underlying biological process pointed to by the features.&rft.creator=Anonymous&rft.date=2012&rft.relation=10.1186/1471-2105-11-277&rft_subject=Bioinformatics Software&rft_subject=Information and Computing Sciences&rft_subject=Computer Software&rft.type=dataset&rft.language=English Access the data
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GPLv3 License. There are no restrictions for use by non-academics.
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