Applied Statistics for Network Biology: Methods in Systems Biology

Applied Statistics for Network Biology: Methods in Systems Biology

Editor(s): Matthias Dehmer, Frank Emmert-Streib, Armin Graber, Armindo Salvador

Published Online: 21 APR 2011

Print ISBN: 9783527327508

Online ISBN: 9783527638079

DOI: 10.1002/9783527638079

Series Editor(s): M. Dehmer, F. Emmert-Streib

About this Book

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 mathematicians but aimed as a valuable guide for the experimental researcher as well computational biologists who often lack an appropriate background in statistical analysis.

Table of contents

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  1. Part One: Modeling, Simulation, and Meaning of Gene Networks

  2. Part Two: Inference of Gene Networks

    1. Chapter 8

      Computational Reconstruction of Protein Interaction Networks (pages 155–180)

      Konrad Mönks, Irmgard Mühlberger, Andreas Bernthaler, Raul Fechete, Paul Perco, Rudolf Freund, Arno Lukas and Bernd Mayer

  3. Part Three: Analysis of Gene Networks

  4. Part Four: Systems Approach to Diseases

    1. Chapter 19

      Pathways and Networks as Functional Descriptors for Human Disease and Drug Response Endpoints (pages 415–442)

      Yuri Nikolsky, Marina Bessarabova, Eugene Kirillov, Zoltan Dezso, Weiwei Shi and Tatiana Nikolskaya

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