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Weighted Network Analysis

Applications in Genomics and Systems Biology

Authors: Horvath, Steve

  • This books describes the theory, application, and software of weighted gene co-expression network analysis
  • Serves as an introductory and comprehensive text on gene co-expression network methodology
  • The book includes biologically interesting case studies that describe data analysis strategies and results
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eBook $189.00
price for USA (gross)
  • ISBN 978-1-4419-8819-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-1-4419-8818-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
price for USA
  • ISBN 978-1-4939-0022-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book presents state-of-the-art methods, software and applications surrounding weighted networks. Most methods and results also apply to unweighted networks. Although aspects of weighted network analysis relate to standard data mining methods, the intuitive network language and analysis framework transcend any particular analysis method. Weighted networks give rise to data reduction methods, clustering procedures, visualization methods, data exploratory methods, and intuitive approaches for integrating disparate data sets. Weighted networks have been used to analyze a variety of high dimensional genomic data sets including gene expression-, epigenetic-, methylation-, proteomics-, and fMRI- data. Chapters explore the fascinating topological structure of weighted networks and provide geometric interpretations of network methods. Powerful systems-level analysis methods result from combining network- with data mining methods. The book not only describes the WGCNA R package but also other software packages. Weighted gene co-expression network applications, real data sets, and exercises guide the reader on how to use these methods in practice, e.g. in systems-biologic or systems-genetic applications. The material is self-contained and only requires a minimum knowledge of statistics. The book is intended for students, faculty, and data analysts in many fields including bioinformatics, computational biology, statistics, computer science, biology, genetics, applied mathematics, physics, and social science. 

Table of contents (15 chapters)

  • Networks and Fundamental Concepts

    Horvath, Steve

    Pages 1-34

  • Approximately Factorizable Networks

    Horvath, Steve

    Pages 35-43

  • Different Types of Network Concepts

    Horvath, Steve

    Pages 45-75

  • Adjacency Functions and Their Topological Effects

    Horvath, Steve

    Pages 77-89

  • Correlation and Gene Co-Expression Networks

    Horvath, Steve

    Pages 91-121

Buy this book

eBook $189.00
price for USA (gross)
  • ISBN 978-1-4419-8819-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-1-4419-8818-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
price for USA
  • ISBN 978-1-4939-0022-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Weighted Network Analysis
Book Subtitle
Applications in Genomics and Systems Biology
Authors
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-8819-5
DOI
10.1007/978-1-4419-8819-5
Hardcover ISBN
978-1-4419-8818-8
Softcover ISBN
978-1-4939-0022-0
Edition Number
1
Number of Pages
XXIII, 421
Topics