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Home > Education > Mathematics > Statistics for Microarrays: Design, Analysis and Inference-eBook
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Statistics for Microarrays: Design, Analysis and Inference
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.

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Title of ebook: Statistics for Microarrays: Design, Analysis and Inference
ISBN: 9780470011072
Publisher: John Wiley & Sons, Inc.
Internet download file size: 8159 kb
Released online for download: 09-22-2004
Author of eBook: Wit, Ernst
Author of eBook: McClure, John

Statisticsfor Microarrays

Design, Analysis and Inference

Chapter One

Preliminaries

1.1 Using the R Computing Environment

The R package is a mathematical computer language and a multifaceted computing environment for statistics and graphics. Although there are several such packages available, R is one of the best and, unlike almost all others, it is free. It has a GNU General Public License. All you need to do to use it is to visit the R website (/) and download the package from there.

Because of its mathematical diversity and its free availability, R has become a very popular tool for analysing microarrays. It is based on the S language developed at Bell Laboratories and therefore shares many similarities with the commercial package S-PLUS.

Although the methods we discuss in this book can be implemented in other packages, all the plots and ana ... read full excerpt from Statistics for Microarrays: Design, Analysis and Inference ebook



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