[PDF.85qt] Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)

Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)

[PDF.qw81] Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)

Analyzing Microarray Gene Expression  Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise epub
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Analyzing Microarray Gene Expression  Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise book review
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 | #2035438 in Books |  2004-08-04 | Original language:English | PDF # 1 |  9.30 x1.00 x6.50l,1.43 | File type: PDF | 368 pages

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||4 of 4 people found the following review helpful.| The statistics of Gene expression data from microarrays|By Michael R. Chernick|McLachlan is a very well-known statistician who specializes in classification, pattern recognition and mixture distribution models. I was surprised to see him write a book on microarray data. But I shouldn't have been. It turns out that in addition to data processing and statistical design, cluste| |"…well written, logically organized…useful to those unfamiliar with the microarray literature…" (Journal of the American Statistical Association, December 2005) |“….would serve as a very good resource for a graduate to

A multi-discipline, hands-on guide to microarray analysis of biological processes

Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approa...

You can specify the type of files you want, for your device.Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)   |  Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise. A good, fresh read, highly recommended.

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