Synopsis
A great introductory book that details reliable approaches to problems met in standard microarray data analyses. It provides examples of established approaches 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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From the Back Cover
A Biologist's Guide to Analysis of DNA Microarray Data
Steen Knudsen
Microarrays are low-density arrays of DNA molecules that permit many hybridization experiments to be performed in parallel. A Biologist's Guide to Analysis of DNA Microarray Data is the first authoritative text to focus on analysis (as opposed to technology) in diverse biological and medical applications of microarrays.
Written for biologists without special training in data analysis and statistics, the Guide takes over where the image analysis software that accompanies DNA array equipment typically leaves off-with a file of signal intensities and fold changes compared to a control. The broad spectrum of established analysis approaches is covered, including cluster analysis, function prediction, and principal component analysis. A thorough, critical review of software programs is presented, and criteria for selecting programs are discussed. Each chapter contains a Further Reading section categorized by topic as well as a summary, and highlights numerous real examples to illustrate the key concepts. Chapter topics include:
* Basic data analysis
* Visualization by reduction of dimensionality
* Cluster analysis of expression data
* Molecular classifiers
* Genotyping chips
* Software issues and data formats
A Biologist's Guide to Analysis of DNA Microarray Data meets the needs of research professionals, students, and trainees alike for a compact yet thorough guide to analyzing microarray data.
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