02535nam 2200577 a 450 991014146480332120170815095330.03-527-66547-11-299-15851-X3-527-66544-73-527-66545-5(CKB)2670000000328191(EBL)1120854(OCoLC)827207495(SSID)ssj0000877732(PQKBManifestationID)11501351(PQKBTitleCode)TC0000877732(PQKBWorkID)10813173(PQKB)11279798(MiAaPQ)EBC1120854(EXLCZ)99267000000032819120130225d2013 uy 0engur|n|---|||||txtccrStatistical diagnostics for cancer[electronic resource] analyzing high-dimensional data /edited by Frank Emmert-Streib and Matthias DehmerWeinheim Wiley-Blackwell20131 online resource (314 p.)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 (VCH)CancerDiagnosisElectronic books.CancerDiagnosis.616.994075Emmert-Streib Frank867728Dehmer Matthias1968-860612MiAaPQMiAaPQMiAaPQBOOK9910141464803321Statistical diagnostics for cancer2074315UNINA