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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Written by a well-known author in the fields of permutation and bootstrap methods, this book fills a gap in the literature by discussing both the biological context as well as the specialized statistical methods needed to handle large arrays.

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 (an imprint of John Wiley & Sons Ltd)
Format Paperback
Publication date 19/04/2011
Pages 200
Weight (grammes) 318
Published in United Kingdom
Height (mm) 232
Width (mm) 162

Preface. 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. Bibliography. Author Index Subject Index.