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Weighted Network Analysis

Overview of attention for book
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 6: Geometric Interpretation of Correlation Networks Using the Singular Value Decomposition
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Citations

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Chapter title
Geometric Interpretation of Correlation Networks Using the Singular Value Decomposition
Chapter number 6
Book title
Weighted Network Analysis
Published by
Springer, New York, NY, January 2011
DOI 10.1007/978-1-4419-8819-5_6
Book ISBNs
978-1-4419-8818-8, 978-1-4419-8819-5
Authors

Steve Horvath, Horvath, Steve

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 100%

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