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A Practical Approach to Microarray Data Analysis

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Cover of 'A Practical Approach to Microarray Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Microarray Data Analysis
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    Chapter 2 Data Pre-Processing Issues in Microarray Analysis
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    Chapter 3 Missing Value Estimation
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    Chapter 4 Normalization
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    Chapter 5 Singular Value Decomposition and Principal Component Analysis
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    Chapter 6 Feature Selection in Microarray Analysis
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    Chapter 7 Introduction to Classification in Microarray Experiments
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    Chapter 8 Bayesian Network Classifiers for Gene Expression Analysis
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    Chapter 9 Classifying Microarray Data Using Support Vector Machines
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    Chapter 10 Weighted Flexible Compound Covariate Method for Classifying Microarray Data
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    Chapter 11 Classification of Expression Patterns Using Artificial Neural Networks
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    Chapter 12 Gene Selection and Sample Classification Using a Genetic Algorithm and k-Nearest Neighbor Method
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    Chapter 13 Clustering Genomic Expression Data: Design and Evaluation Principles
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    Chapter 14 Clustering or Automatic Class Discovery: Hierarchical Methods
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    Chapter 15 Discovering Genomic Expression Patterns with Self-Organizing Neural Networks
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    Chapter 16 Clustering or Automatic Class Discovery: Non-Hierarchical, non-SOM
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    Chapter 17 Correlation and Association Analysis
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    Chapter 18 Global Functional Profiling of Gene Expression Data
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    Chapter 19 Microarray Software Review
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    Chapter 20 Microarray Analysis as a Process
Attention for Chapter 11: Classification of Expression Patterns Using Artificial Neural Networks
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Citations

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Chapter title
Classification of Expression Patterns Using Artificial Neural Networks
Chapter number 11
Book title
A Practical Approach to Microarray Data Analysis
Published by
Springer, Boston, MA, January 2003
DOI 10.1007/0-306-47815-3_11
Book ISBNs
978-1-4020-7260-4, 978-0-306-47815-4
Authors

Markus Ringnér, Patrik Edén, Peter Johansson, Ringnér, Markus, Edén, Patrik, Johansson, Peter

View on publisher site
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 Kingdom 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Unknown 1 50%
Readers by discipline Count As %
Medicine and Dentistry 1 50%
Unknown 1 50%

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