Statistics for Microarrays - by Ernst Wit & John McClure Hardcover

Book Synopsis

Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data - from getting good data to obtaining meaningful results.

• Provides an overview of statistics for microarrays, including experimental design, data preparation, image analysis, normalization, quality control, and statistical inference.
• Features many examples throughout using real data from microarray experiments.
• Computational techniques are integrated into the text.
• Takes a very practical approach, suitable for statistically-minded biologists.
• Supported by a Website featuring colour images, software, and data sets.

Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientists working with microarray data, the book is also suitable for postgraduate students of bioinformatics.

From the Back Cover

Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data - from getting good data to obtaining meaningful results.

• Provides an overview of statistics for microarrays, including experimental design, data preparation, image analysis, normalization, quality control, and statistical inference.
• Features many examples throughout using real data from microarray experiments.
• Computational techniques are integrated into the text.
• Takes a very practical approach, suitable for statistically-minded biologists.
• Supported by a Website featuring colour images, software, and data sets.

Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientists working with microarray data, the book is also suitable for postgraduate students of bioinformatics.

Review Quotes

"I liked this book and would recommend it to any statistician new to microarray data analysis...a unique combination of features that make it a contender among the standard textbooks..." (Journal of the American Statistical Association, June 2006)

"...clear...up-to-date...lively advice...an excellent reference text for any researcher interested in the analysis of transcriptomic data." (Short Book Reviews, Vol.25, No.1, April 2005)

"...this is a very good introduction to one of the most widely used methods for assessing differential expression..." (Journal of the Royal Statistical Society, Vol 168 (4) 2005)

"...presents a coherent and systematic overview of statistical methods in all stages of the process of analysing microarray data..." (Zentralblatt Math, Vol.1049, 2004)

About the Author

Ernst Wit is the author of Statistics for Microarrays: Design, Analysis and Inference, published by Wiley.

John McClure is the author of Statistics for Microarrays: Design, Analysis and Inference, published by Wiley.