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  • Book
    Steve Horvath.
    Contents:
    Networks and fundamental concepts
    Approximately factorizable networks
    Different types 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 measures 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
    Network based on the joint probability distribution of random varaibles.
    Digital Access Springer 2011