02463nam 2200577 a 450 991102001590332120250204110758.0978352766547135276654719781299158511129915851X9783527665440352766544797835276654573527665455(OCoLC)881385141(MiFhGG)GVRL8FLF(CKB)2670000000328191(MiAaPQ)EBC1120854(MiFhGG)9783527665457(Perlego)1002731(EXLCZ)99267000000032819120130225d2013 uy 0engurun|---uuuuatxtccrStatistical diagnostics for cancer analyzing high-dimensional data /edited by Frank Emmert-Streib and Matthias DehmerWeinheim Wiley-Blackwell20131 online resource (xx, 292 pages) illustrations (some color)Quantitative and network biology ;v. 3Description based upon print version of record.9783527332625 3527332626 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.CancerDiagnosisCancerDiagnosis.616.994075Emmert-Streib Frank867728Dehmer Matthias1968-860612MiAaPQMiAaPQMiAaPQBOOK9911020015903321Statistical diagnostics for cancer4416118UNINA