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This book introduces a number of cutting edge statistical methods which can be 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 much 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 mathematicians but aimed at experimental researcher as well as computational biologists who often lack an appropriate background in statistical analysis.
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Edited by Matthias Dehmer, Frank Emmert-Streib Armin Graber, and Armindo Salvador Applied Statistics for Network Biology
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Quantitative and Network Biology Series Editors M. Dehmer and F. Emmert-Streib Volume 1
Applied Statistics for Network Biology Methods in Systems Biology Edited by Matthias Dehmer, Frank Emmert-Streib, Armin Graber, and Armindo Salvador
The Editors Matthias Dehmer UMIT Institute for Bioinformatics and Translational Research Eduard Wallnöfer Zentrum 1 6060 Hall, Tyrol Austria Frank Emmert-Streib Queens University Belfast Center for Cancer Research and Cell Biology 97, Lisburn Road Belfast BT9 7BL United Kingdom Armin Graber UMIT Institute for Bioinformatics and Translational Research Eduard Wallnöfer Zentrum 1 6060 Hall, Tyrol Austria and Novartis Pharmaceuticals Corporation Oncology Biomarkers and Imaging One Health Plaza East Hanover, NJ 07936 USA Armindo Salvador University of Coimbra Center for Neuroscience and Cell Biology, Department of Chemistry 3004-535 Coimbra Portugal Composition Thomson Digital, Noida, India Printing and Binding betz-druck GmbH, Darmstadt Cover Design Adam Design, Weinheim
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