Statistics and Data Analysis for Microarrays Using R and Bioconductor (Hardback)
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Short Description for Statistics and Data Analysis for Microarrays Using R and Bioconductor Replaces the commercial software with the open source R computing environment. This title contains chapters on cutting-edge microarray topics and provides the R code on an accompanying CD-ROM. It bridges the gap between an introduction to data analysis and advanced material for performing data analysis.
- Published: 11 January 2012
- Format: Hardback 1036 pages
- ISBN 13: 9781439809754 ISBN 10: 1439809755
- Sales rank: 356,477
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Full description for Statistics and Data Analysis for Microarrays Using R and Bioconductor
Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems. New to the Second Edition Completely updated and double the size of its predecessor, this timely second edition replaces the commercial software with the open source R and Bioconductor environments. Fourteen new chapters cover such topics as the basic mechanisms of the cell, reliability and reproducibility issues in DNA microarrays, basic statistics and linear models in R, experiment design, multiple comparisons, quality control, data pre-processing and normalization, Gene Ontology analysis, pathway analysis, and machine learning techniques. Methods are illustrated with toy examples and real data and the R code for all routines is available on an accompanying CD-ROM. With all the necessary prerequisites included, this best-selling book guides students from very basic notions to advanced analysis techniques in R and Bioconductor. The first half of the text presents an overview of microarrays and the statistical elements that form the building blocks of any data analysis. The second half introduces the techniques most commonly used in the analysis of microarray data.