Prognostic gene set signatures derived from breast cancer microarray gene expression dataNICTA
2 linked Records:A/Prof Izhak Haviv (Associated with) Demo Data Manager (Manages) Dr Adam Kowalczyk (Associated with) Dr Sherene Loi (Associated with) Gad Abraham (Aggregated by) Prof Justin Zobel (Associated with)
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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:doi10.4225/02/4E9F69F7AE206&rft.title=Prognostic gene set signatures derived from breast cancer microarray gene expression data&rft.identifier=10.4225/02/4E9F69F7AE206&rft.publisher=Computer Science and Software Engineering, The University of Melbourne&rft.description=The data collection contains the outputs of the preprocessing stage and the prognostic gene set signatures generated through the study of Abraham et al (2010). The preprocessing outputs include: (a) Data - a file with all sample annotations; (b) Mappings - a file mapping gene sets to genes to Affymetrix probes and (c) Setstats - a file with all set statistics for the study, for each of the 5 input breast cancer Affymetrix gene expression datasets. The prognostic gene set signatures include: (a) lists of MSigDB gene sets for each set statistic (set centroid, set medoid, set median, set t-statistic, set U-statistic, and set principal component), ranked by their aggregated classifier weights over the five expression datasets and (b) lists of MSigDB gene sets for each set statistic, computed separately in each of the breast cancer molecular subtypes (ER-/HER2-, ER+/HER2-, and HER2+).&rft.creator=Abraham, Gad &rft.creator=Kowalczyk, Adam &rft.creator=Loi, Sherene &rft.creator=Haviv, Izhak &rft.creator=Zobel, Justin &rft.date=2011&rft.relation=10.1186/1471-2105-11-277&rft_subject=Cancer Genetics&rft_subject=Medical and Health Sciences&rft_subject=Oncology and Carcinogenesis&rft.type=dataset&rft.language=English Access the data
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The content of the data collection is licensed under a Creative Commons Attribution 3.0 Australia License
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