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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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.
"...a fine introduction to DNA microarray analysis using good concrete examples, well reasoned descriptions and much–needed examination of the tools, technologies, and research resources...after reading this book, anyone new to microarray data should understand what can be measured..." ( Nature Genetics, Vol. 33, March 2003)
"...I′d recommend anyone setting out to use this methodology to buy a copy for the lab." (British Society for Cell Biology Newsletter)
"...This useful little book .... I′d recommend anyone setting out to use this methodology to buy a copy for the lab." (British Society for Developmental Biology Newsletter)
"...I′d recommend anyone setting out to use this methodology to buy a copy for the lab."(British Society for Cell Biology Newsletter, Summer 2003)
"...This useful little book .... I′d recommend anyone setting out to use this methodology to buy a copy for the lab." (British Society for Developmental Biology Newsletter)
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