Weighted Network Analysis
Applications in Genomics and Systems Biology
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Weighted Correlation Network Analysis and Systems Biologic Applications presents state-of-the-art methods, software and applications surrounding weighted networks. Most methods also apply also to unweighted networks. The book reviews data mining methods and analysis strategies. Applications and exercises guide the reader on how to use these methods in practice, e.g. in systems-biologic or systems-genetic applications.The material is self-contained and only requires a minimum knowledge of statistics. The accessible material is intended for students, faculty, and data analysts in many fields inc...
Weighted Correlation Network Analysis and Systems Biologic Applications presents state-of-the-art methods, software and applications surrounding weighted networks. Most methods also apply also to unweighted networks. The book reviews data mining methods and analysis strategies. Applications and exercises guide the reader on how to use these methods in practice, e.g. in systems-biologic or systems-genetic applications.The material is self-contained and only requires a minimum knowledge of statistics. The accessible material is intended for students, faculty, and data analysts in many fields including bioinformatics, computational biology, statistics, computer science, biology, genetics, applied mathematics, physics, and social science. Networks have been applied to analyze a variety of high dimensional data including gene expression-, epigenetic-, methylation-, RNA-seq, proteomics-, and fMRI- data.
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