[PDF.04nv] Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)
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Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)
Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise
[PDF.hx12] Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)
Analyzing Microarray Gene Expression Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise epub Analyzing Microarray Gene Expression Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise pdf download Analyzing Microarray Gene Expression Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise pdf file Analyzing Microarray Gene Expression Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise audiobook Analyzing Microarray Gene Expression Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise book review Analyzing Microarray Gene Expression Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise summary
| #5153507 in Books | 2004-08-04 | Original language:English | PDF # 1 | 9.30 x1.00 x6.50l,1.43 | File type: PDF | 368 pages||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 easily download any file type for your gadget.Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics) | Geoffrey J. McLachlan, Kim-Anh Do, Christophe Ambroise.Not only was the story interesting, engaging and relatable, it also teaches lessons.
