Steve Horvath

Weighted Network Analysis

Applications in Genomics and Systems Biology

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4939-0022-0
• 2011
• Seitenzahl: 448
• Erscheinungstermin: 1. Oktober 2014
• Englisch
• Abmessung: 235mm x 155mm x 25mm
• Gewicht: 682g
• ISBN-13: 9781493900220
• ISBN-10: 1493900226
• Artikelnr.: 41622040

Inhaltsangabe

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.