Weighted Network Analysis
Applications in Genomics and Systems Biology
Published on 1. October 2014
Book
Paperback/Softback
XXIII, 421 pages
978-1-4939-0022-0 (ISBN)
Description
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.
More details
Edition
2011 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Professional/practitioner
Illustrations
XXIII, 421 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 25 mm
Weight
674 gr
ISBN-13
978-1-4939-0022-0 (9781493900220)
DOI
10.1007/978-1-4419-8819-5
Schweitzer Classification
Other editions
Additional editions
Book
05/2011
1st Edition
Springer
€213.99
Shipment within 15-20 days
E-Book
04/2011
1st Edition
Springer Science+Business Media
€181.89
Available for download
Content
Preface.- Networks and fundamental concepts.- Approximately factorizable networks.- Different type of network concepts.- Adjacency functions and their topological effects.- Correlation and gene co-expression networks.- Geometric interpretation of correlation networks using the singular value decomposition.- Constructing networks from matrices.- Clustering Procedures and module detection.- Evaluating whether a module is preserved in another network.- Association and statistical significance measures.- Structural equation models and directed networks.- Integrated weighted correlation network analysis of mouse liver gene expression data.- Networks based on regression models and prediction methods.- Networks between categorical or discretized numeric variables.- Networks based on the joint probability distribution of random variables.- Index.