[PDF.86lf] Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)

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

[PDF.gg76] 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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 | #2196694 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

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 easily download any file type for your device.Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)   |  Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise. I was recommended this book by a dear friend of mine.

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