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Statistics and Data Analysis for Microarrays Using R and Bioconductor (Hardcover, 2nd edition)
Loot Price: R2,961
Discovery Miles 29 610
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Statistics and Data Analysis for Microarrays Using R and Bioconductor (Hardcover, 2nd edition)
Series: Chapman & Hall/CRC Computational Biology Series
Expected to ship within 9 - 15 working days
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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 EditionCompletely 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 downloadable resource. 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.
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