02435oam 2200505 450 991083085510332120190911112726.03-527-66547-11-299-15851-X3-527-66544-73-527-66545-5(OCoLC)881385141(MiFhGG)GVRL8FLF(EXLCZ)99267000000032819120130605d2013 uy 0engurun|---uuuuatxtccrStatistical diagnostics for cancer analyzing high-dimensional data /edited by Frank Emmert-Streib and Matthias DehmerWeinheim Wiley-Blackwell2013Weinheim, Germany :Wiley-Blackwell,2013.1 online resource (xx, 292 pages) illustrations (some color)Quantitative and Network Biology (VCH)Quantitative and network biology ;v. 3Description based upon print version of record.3-527-33262-6 Includes bibliographical references and index.pt. 1. General overview -- pt. 2. Bayesian methods -- pt. 3. Network-based approaches -- pt. 4. Phenotype influence of DNA copy number aberrations.This ready reference discusses different methods for statistically analyzing and validating data created with high-throughput methods. As opposed to other titles, this book focusses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or less complex biological network. From a methodological point of view, the well balanced contributions describe a variety of modern supervised and unsupervised statistical methods applied to various large-scale datasets from genomics and genetics experiments. Furthermore, since the availability of suffiQuantitative and network biology ;v. 3.CancerDiagnosisStatistical methodsCancerGenetic aspectsStatistical methodsCancerDiagnosisStatistical methods.CancerGenetic aspectsStatistical methods.616.994075Emmert-Streib FrankDehmer Matthias1968-MiFhGGMiFhGGBOOK9910830855103321Statistical diagnostics for cancer3986468UNINA