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Weighted Network Analysis

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Cover of 'Weighted Network Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Networks and Fundamental Concepts
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    Chapter 2 Approximately Factorizable Networks
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    Chapter 3 Different Types of Network Concepts
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    Chapter 4 Adjacency Functions and Their Topological Effects
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    Chapter 5 Correlation and Gene Co-Expression Networks
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    Chapter 6 Geometric Interpretation of Correlation Networks Using the Singular Value Decomposition
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    Chapter 7 Constructing Networks from Matrices
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    Chapter 8 Clustering Procedures and Module Detection
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    Chapter 9 Evaluating Whether a Module is Preserved in Another Network
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    Chapter 10 Association Measures and Statistical Significance Measures
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    Chapter 11 Structural Equation Models and Directed Networks
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    Chapter 12 Integrated Weighted Correlation Network Analysis of Mouse Liver Gene Expression Data
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    Chapter 13 Networks Based on Regression Models and Prediction Methods
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    Chapter 14 Networks Between Categorical or Discretized Numeric Variables
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    Chapter 15 Network Based on the Joint Probability Distribution of Random Variables
Attention for Chapter 12: Integrated Weighted Correlation Network Analysis of Mouse Liver Gene Expression Data
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