Statistics for Microarrays
Design, Analysis and Inference
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Due to the enormous quantity of data involved, statistical techniques play a crucial role in the cleaning and analysis of microarray data. Featuring numerous worked examples, Statistics for Microarrays describes the process of microarray data analysis using a practical approach. Readers will find a comprehensive overview of statistics for microarrays, including experimental design, data preparation and quality control, normalization, visualization, and statistical 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.
_ 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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