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