04368cam a2200733Ii 4500 ocn834600291 OCoLC 20171107083441.0 m o d cr ||||||||||| 130225t20132013gw ad ob 001 0 eng d 9783527665471 (oBook) 3527665471 (oBook) 9783527665440 (ePDF) 3527665447 (ePDF) 9783527665457 (ePUB) 3527665455 (ePUB) 9781299158511 (MyiLibrary) 129915851X (MyiLibrary) 9783527665464 (Mobi) 3527665463 (Mobi) 9783527332625 (print : alk. paper) 3527332626 (print : alk. paper) AU@ 000051628924 NZ1 15340129 DEBBG BV041069279 CHVBK 306231468 CHBIS 010026922 DEBBG BV043395700 (OCoLC)834600291 (OCoLC)827207495 (OCoLC)828617831 (OCoLC)881385141 447101 MIL E7B eng rda pn E7B OCLCQ OCLCO DG1 CUS YDXCP NOC OCLCQ OCLCO OCLCF GGVRL EBLCP CDX MMU COO MAIN RC270 .S73 2013eb QZ 241 HEA eflch 616.99/4075 23 Statistical diagnostics for cancer : analyzing high-dimensional data / edited by Frank Emmert-Streib and Matthias Dehmer. [electronic resource] First edition. Weinheim, Germany : Wiley-Blackwell, [2013] ©2013 1 online resource (xx, 292 pages) : illustrations (some color). text txt rdacontent computer c rdamedia online resource cr rdacarrier Quantitative and network biology ; volume 3 Edition statement from running title area. Includes bibliographical references and index. Part one: General overview. Control of type I error rates for oncology biomarker discovery with high-throughput platforms -- Overview of public cancer databases, resources, and visualization tools -- Part two: Bayesian methods. Discovery of expression signatures in chronic myeloid leukemia by Bayesian model averaging -- Bayesian ranking and selection methods in microarray studies -- Multiclass classification via Bayesian variable selection with gene expression data -- Semisupervised methods for analyzing high-dimensional genomic data -- Part three: Network-based approaches -- Colorectal cancer and its molecular subsystems: construction, interpretation, and validation -- Network medicine: disease genes in molecular networks -- Inference of gene regulatory networks in breast and ovarian cancer by integrating different genomic data -- Network-module-based approaches in cancer data analysis -- Discriminant and network analysis to study origin of cancer -- Intervention and control of gene regulatory networks: theoretical framework and application to human melanoma gene regulation -- Part four: Phenotype influence of DNA copy number aberrations. Identification of recurrent DNA copy number aberrations in tumors -- The cancer cell, its entropy, and high-dimensional molecular data. This title discusses different methods for statistically analyzing and validating data created with high-throughput methods. It focuses 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. Description based on online resource; title from resource home page (ebrary, viewed October 8, 2015). Cancer Diagnosis. Neoplasms genetics. Statistics as Topic methods. Cancer Diagnosis. fast (OCoLC)fst00845345 Electronic books. Electronic books. local Emmert-Streib, Frank, editor. Dehmer, Matthias, 1968- editor. Print version: Statistical diagnostics for cancer. Weinheim, germany : Wiley-Blackwell, [2013] 9783527332625 (OCoLC)840878109 Quantitative and network biology ; v. 3. http://onlinelibrary.wiley.com/book/10.1002/9783527665471 Wiley Online Library ddc BK 206614 206614