A Biologist's Guide to Analysis of DNA Microarray Data

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A great introductory book that details reliable approaches to problems met instandard microarray data analyses. It provides examples of establishedapproaches such as cluster analysis, function prediction, and principle component analysis. Discover real examples to illustrate the key concepts of data analysis. Written for those without any advanced background in math, statistics, or computer sciences, this book is essential for anyone interested in harnessing the immense potential of microarrays in biology and medicine.

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Steen Knudsen

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Bioinformatics & Computational Biology Bioinformatik u. Computersimulationen in der Biowissenschaften Biotechnologie i. d. Biowissenschaften Biotechnology Biowissenschaften Cell & Molecular Biology Life Sciences Zell- u. Molekularbiologie

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"...a fine introduction to DNA microarray analysis using goodconcrete examples, well reasoned descriptions...and much-neededexamination of the tools, technologies, and researchresources...after reading this book, anyone new to microarray datashould understand what can...be measured..." (NatureGenetics, Vol. 33, March 2003) "...I'd recommend anyone setting out to use this methodology tobuy a copy for the lab." (British Society for Cell BiologyNewsletter) "...This useful little book .... I'd recommend anyone settingout to use this methodology to buy a copy for the lab." (BritishSociety for Developmental Biology Newsletter)"...provides a great introduction and overview of the computational methods associated with the anaylsis of microarray and chip data." - Gary Hardiman, Ph.D., Division of Biology, University of California San Diego, La Jolla, California
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