Overview
- Editors:
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Michael J. Brownstein
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Laboratory of Genetics, NIMH/NHGRI, National Institutes of Health, Rockville
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Arkady B. Khodursky
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Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, St. Paul
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Table of contents (15 protocols)
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- Charlie C. Xiang, Michael J. Brownstein
Pages 1-7
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- George Jokhadze, Stephen Chen, Claire Granger, Alex Chenchik
Pages 9-29
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- Alexander Munishkin, Konrad Faulstich, Vissarion Aivazachvili, Claire Granger, Alex Chenchik
Pages 31-54
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- Charlie C. Xiang, Michael J. Brownstein
Pages 55-60
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- Arkady B. Khodursky, Jonathan A. Bernstein, Brian J. Peter, Virgil Rhodius, Volker F. Wendisch, Daniel P. Zimmer
Pages 61-78
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- Gordon K. Smyth, Yee Hwa Yang, Terry Speed
Pages 111-136
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- John D. Storey, Robert Tibshirani
Pages 149-157
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- Asa Ben-Hur, Isabelle Guyon
Pages 159-182
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- Ying Zhao, George Karypis
Pages 183-218
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- Gavin Sherlock, Catherine A. Ball
Pages 235-248
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Back Matter
Pages 249-258
About this book
This collection of robust, readily reproducible methods for microarray-based studies includes expert guidance in the optimal data analysis and informatics. On the methods side are proven techniques for monitoring subcellular RNA localization en masse, for mapping chromosomes at the resolution of a single gene, and for surveying the steady-state genome-wide distribution of DNA binding proteins in vivo. For those workers dealing with massive data sets, the book discusses the methodological aspects of data analysis and informatics in the design of microarray experiments, the choice of test statistic, and the assessment of observational significance, data reduction, and clustering.
Reviews
"....a good book, and it will be useful to microarray workers in their effots." - Journal of Chemical Neuroanatomy
Editors and Affiliations
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Laboratory of Genetics, NIMH/NHGRI, National Institutes of Health, Rockville
Michael J. Brownstein
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Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, St. Paul
Arkady B. Khodursky