Weighted Network Analysis : Applications in Genomics and Systems Biology /
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| Format: | eBook |
| Language: | English |
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New York, NY :
Springer New York : Imprint: Springer,
2011.
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| Edition: | 1st ed. 2011. |
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Table of Contents:
- 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.