Overview
- 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
- Includes supplementary material: sn.pub/extras
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About this book
High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
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Bibliographic Information
Book Title: Weighted Network Analysis
Book Subtitle: Applications in Genomics and Systems Biology
Authors: Steve Horvath
DOI: https://doi.org/10.1007/978-1-4419-8819-5
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4419-8818-8Published: 04 May 2011
Softcover ISBN: 978-1-4939-0022-0Published: 01 October 2014
eBook ISBN: 978-1-4419-8819-5Published: 30 April 2011
Edition Number: 1
Number of Pages: XXIII, 421
Topics: Systems Biology, Bioinformatics, Human Genetics, Computer Appl. in Life Sciences