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Exploration and Analysis of DNA Microarray and Protein Array Data (Wiley Series in Probability and Statistics) - Hardcover

 
9780471273981: Exploration and Analysis of DNA Microarray and Protein Array Data (Wiley Series in Probability and Statistics)

Synopsis

A cutting-edge guide to the analysis of DNA microarray data

Genomics is one of the major scientific revolutions of this century, and the use of microarrays to rapidly analyze numerous DNA samples has enabled scientists to make sense of mountains of genomic data through statistical analysis. Today, microarrays are being used in biomedical research to study such vital areas as a drug’s therapeutic value–or toxicity–and cancer-spreading patterns of gene activity.

Exploration and Analysis of DNA Microarray and Protein Array Data answers the need for a comprehensive, cutting-edge overview of this important and emerging field. The authors, seasoned researchers with extensive experience in both industry and academia, effectively outline all phases of this revolutionary analytical technique, from the preprocessing to the analysis stage.

Highlights of the text include:

  • A review of basic molecular biology, followed by an introduction to microarrays and their preparation
  • Chapters on processing scanned images and preprocessing microarray data
  • Methods for identifying differentially expressed genes in comparative microarray experiments
  • Discussions of gene and sample clustering and class prediction
  • Extension of analysis methods to protein array data

Numerous exercises for self-study as well as data sets and a useful collection of computational tools on the authors’ Web site make this important text a valuable resource for both students and professionals in the field.

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About the Author

DHAMMIKA AMARATUNGA, PhD, is a Senior Research Fellow in the Nonclinical Biostatistics Department at Johnson & Johnson Pharmaceutical Research & Development, LLC. He has a doctorate in statistics from Princeton University and has been working in the pharmaceutical industry for over fifteen years. His research interests include analysis of large multivariate data sets, particularly those generated by functional genomics research, robust and resistant statistical methods, linear and nonlinear modeling, and biostatistics.

JAVIER CABRERA, PhD, is an Associate Professor in the Department of Statistics at Rutgers University. He has a doctorate in statistics from Princeton University and has over fifty publications in applied statistics. His research interests include DNA microarray, data mining of biopharmaceutical databases, computer vision, statistical computing and graphics, robustness, and biostatistics.

Review

...outlines methodologies for analyzing DNA microarrays and protein array data for industrial and academic applications... -- Genetic Engineering News, March 15, 2004

"...extremely well written...a comprehensive and up-to-date overview of this important field." (Journal of Environmental Quality, Jan/Feb 2005)

"...an extensive overview of current microarray data analysis..." (Clinical Chemistry, November 2004)

"The book would be useful to anyone studying or working with the DNA and protein arrays." (Annals of Biomedical Engineering, November 2004)

“...presents an extensive series of computational, visual, and statistical tools that are being used for exploring and analyzing microarray data...” (Quarterly of Applied Mathematics, Vol. LXII, No. 1, March 2004)

“...outlines methodologies for analyzing DNA microarrays and protein array data for industrial and academic applications...” (Genetic Engineering News, March 15, 2004)

"About this title" may belong to another edition of this title.

  • PublisherWiley-Interscience
  • Publication date2003
  • ISBN 10 0471273988
  • ISBN 13 9780471273981
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages272

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