A Biologist's Guide to Analysis of DNA Microarray Data

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John Wiley & Sons, Sep 23, 2011 - Science - 148 pages
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A great introductory book that details reliable approaches to problems met in standard microarray data analyses. It provides examples of established approaches such as cluster analysis, function prediction, and principle component analysis. Discover real examples to illustrate the key concepts of data analysis. Written for those without any advanced background in math, statistics, or computer sciences, this book is essential for anyone interested in harnessing the immense potential of microarrays in biology and medicine.
 

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Contents

1 Introduction
1
2 Overview of Data Analysis
15
3 Basic Data Analysis
17
4 Visualization by Reduction of Dimensionality
33
5 Cluster Analysis
41
6 Beyond Cluster Analysis
55
7 Reverse Engineering of Regulatory Networks
63
8 Molecular Classifiers
75
9 Selection of Genes for Spotting on Arrays
81
10 Limitations of Expression Analysis
87
11 Genotyping Chips
91
12 Software Issues and Data Formats
95
13 Commercial Software Packages
105
14 Bibliography
109
Index
123
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