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Analyzing the Large Number of Variables in Biomedical and Satellite Imagery
Microarrays and Images


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Analyzing the Large Number of Variables in Biomedical and Satellite Imagery
Microarrays and Images

by Phillip I. Good (Author)



ISBN: 9780470927144


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  • Description
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  • Book Details
  • Contents

This book grew out of an online interactive offered through statcourse. com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students.

As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well as data collection and pre-processing. While many alternate techniques for analysis have been introduced in the past decade, the author has selected only those techniques for which software is available along with a list of the available links from which the software may be purchased or downloaded without charge. Topical coverage includes: very large arrays; permutation tests; applying permutation tests; gathering and preparing data for analysis; multiple tests; bootstrap; applying the bootstrap; classification methods; decision trees; and applying decision trees.


ISBN 470927143
ISBN13 9780470927144
Publisher Wiley-Blackwell
Format Paperback
Publication date 19/04/2011
Pages 200
Weight (grammes) 318
Published in United States
Height (mm) 232
Width (mm) 162


1. Very Large Arrays.

2. Permutation Tests.

3. Applying the Permutation Test.

4. Gathering and Preparing Data for Analysis.

5. Multiple Tests.

6. Bootstrap.

7. Classification Methods.

8. Applying Decision Trees.

Glossary: Biological Terms.

Glossary: Statistical Terms.

Appendix: An R Primer.


Author Index

Subject Index.