02834nam 2200709 a 450 991013102910332120200520144314.0978661314095197812831409591283140950978352763808635276380839783527638093352763809197835276380793527638075(CKB)3460000000003443(EBL)697816(SSID)ssj0000506277(PQKBManifestationID)11358794(PQKBTitleCode)TC0000506277(PQKBWorkID)10515784(PQKB)10561228(MiAaPQ)EBC697816(PPN)197688977(OCoLC)729724698(Perlego)1011674(EXLCZ)99346000000000344320120111d2011 uy 0engur|n|---|||||txtccrApplied statistics for network biology methods in system biology /edited by Matthias Dehmer ... [et al.]Weinheim, Germany Wiley-Blackwell20111 online resource (480 p.)Quantitative and network biology ;v. 1Description based upon print version of record.9783527327508 3527327509 Includes bibliographical references and index.pt. 1. Modeling, simulation, and meaning of gene networks -- pt. 2. Inference of gene networks -- pt. 3. Analysis of gene networks -- pt. 4. Systems approach to diseases.The book introduces to the reader a number of cutting edge statistical methods which can e used for the analysis of genomic, proteomic and metabolomic data sets. In particular in the field of systems biology, researchers are trying to analyze as many data as possible in a given biological system (such as a cell or an organ). The appropriate statistical evaluation of these large scale data is critical for the correct interpretation and different experimental approaches require different approaches for the statistical analysis of these data. This book is written by biostatisticians and mathematiQuantitative and network biology ;v. 1.Systems biologyStatistical methodsGenomicsComputational biologyBioinformaticsSystems biologyStatistical methods.Genomics.Computational biology.Bioinformatics.570.727Dehmer Matthias860612MiAaPQMiAaPQMiAaPQBOOK9910131029103321Applied statistics for network biology1920474UNINA