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- Author: Steve Horvath
- Publisher: Springer
- Year: 2014
- Pages: 421
- ISBN-10: 1493900226
- ISBN-13: 9781493900220
- Format: 15.6 x 23.4 x 2.3 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
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.
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- Author: Steve Horvath
- Publisher: Springer
- Year: 2014
- Pages: 421
- ISBN-10: 1493900226
- ISBN-13: 9781493900220
- Format: 15.6 x 23.4 x 2.3 cm, minkšti viršeliai
- Language: English English
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.
Reviews