Analyzing Microarray Gene Expression Data - McLachlan, Geoffrey;Do, Kim-Anh;Ambroise, Christophe
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The analysis of microarray gene expression data is increasingly important to both statistics and science. The methodology to examine the "cleaned data" is an essential aspect of the field. This comprehensive review discusses the methodology needed to analyze data such as microarray gene expression data, with coverage of the cleaning of such data as well.
Emphasis on clustering of data of gene tissues _ Includes new research findings and activities in molecular biology _ Highlights the important general field of bioinformatics and genomics and discusses the impact of microarray analysis on both…mehr

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Produktbeschreibung
The analysis of microarray gene expression data is increasingly important to both statistics and science. The methodology to examine the "cleaned data" is an essential aspect of the field. This comprehensive review discusses the methodology needed to analyze data such as microarray gene expression data, with coverage of the cleaning of such data as well.
Emphasis on clustering of data of gene tissues
_ Includes new research findings and activities in molecular biology
_ Highlights the important general field of bioinformatics and genomics and discusses the impact of microarray analysis on both
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Autorenporträt
GEOFFREY J. McLACHLAN, PhD, is Professor of Statistics at the University of Queensland, Australia, and the author of four very successful statistical texts. KIM-ANH DO, PhD, is Professor of Biostatistics at the University of Texas MD Anderson Cancer Center in Houston, Texas. CHRISTOPHE AMBROISE, PhD, is Lecturer at the Université de Technologie de Compiègne in France.
Rezensionen
"...well written, logically organized...useful to those unfamiliar with the microarray literature..." ( Journal of the American Statistical Association , December 2005)
"....would serve as a very good resource for a graduate topics seminar in advanced applied statistics." ( Short Book Reviews , Vol.25, No.1, April 2005)

"For the intended audience of biostatisticians and biologists...this book will be an asset." ( E-STREAMS , February 2005)

"I liked this book...expands on both the tools and applications of microarray data analysis..." ( Technometrics , February 2005)