A Biologist's Guide to Analysis of DNA MicroarrayData
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More About This Title A Biologist's Guide to Analysis of DNA MicroarrayData
English
Preface.
Acknowledgments.
1. Introduction.
2. Overview of Data Analysis.
3. Basic Data Analysis.
4. Visualization by Reduction of Dimensionality.
5. Cluster Analysis.
6. Beyond Cluster Analysis.
7. Reverse Engineering of Regulatory Networks.
8. Molecular Classifiers.
9. Selection of Genes for Spotting on Arrays.
10. Limitations of Expression Analysis.
11. Genotyping Chips.
12. Software Issues and Data Formats.
13. Commercial Software Packages.
14. Bibliography.
Index.
Acknowledgments.
1. Introduction.
2. Overview of Data Analysis.
3. Basic Data Analysis.
4. Visualization by Reduction of Dimensionality.
5. Cluster Analysis.
6. Beyond Cluster Analysis.
7. Reverse Engineering of Regulatory Networks.
8. Molecular Classifiers.
9. Selection of Genes for Spotting on Arrays.
10. Limitations of Expression Analysis.
11. Genotyping Chips.
12. Software Issues and Data Formats.
13. Commercial Software Packages.
14. Bibliography.
Index.
English
"...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)
"...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