Ernst Wit, John McClure

Statistics for Microarrays

Design, Analysis and Inference

• Broschiertes Buch

Produktbeschreibung

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.

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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.

Produktdetails

• Verlag: Wiley & Sons
• Artikelnr. des Verlages: 14584993000
• 1. Auflage
• Seitenzahl: 232
• Erscheinungstermin: 23. Juli 2004
• Englisch
• Abmessung: 235mm x 157mm x 20mm
• Gewicht: 525g
• ISBN-13: 9780470849934
• ISBN-10: 0470849932
• Artikelnr.: 12964685

Autorenporträt

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.

Inhaltsangabe

Preface. 1 Preliminaries. 1.1 Using the R Computing Environment. 1.2 Data
Sets from Biological Experiments. I Getting Good Data. 2 Set-up of a
Microarray Experiment. 2.1 Nucleic Acids: DNA and RNA. 2.2 Simple cDNA
Spotted Microarray Experiment. 3 Statistical Design of Microarrays. 3.1
Sources of Variation. 3.2 Replication. 3.3 Design Principles. 3.4
Single-channelMicroarray Design. 3.5 Two-channelMicroarray Designs. 4
Normalization. 4.1 Image Analysis. 4.2 Introduction to Normalization. 4.3
Normalization for Dual-channel Arrays. 4.4 Normalization of Single-channel
Arrays. 5 Quality Assessment. 5.1 Using MIAME in Quality Assessment. 5.2
Comparing Multivariate Data. 5.3 Detecting Data Problems. 5.4 Consequences
of Quality Assessment Checks. 6 Microarray Myths: Data. 6.1 Design. 6.2
Normalization. II Getting Good Answers. 7 Microarray Discoveries. 7.1
Discovering Sample Classes. 7.2 Exploratory Supervised Learning. 7.3
Discovering Gene Clusters. 8 Differential Expression. 8.1 Introduction. 8.2
Classical Hypothesis Testing. 8.3 Bayesian Hypothesis Testing. 9 Predicting
Outcomes with Gene Expression Profiles. 9.1 Introduction. 9.2 Curse of
Dimensionality: Gene Filtering. 9.3 Predicting ClassMemberships. 9.4
Predicting Continuous Responses. 10 Microarray Myths: Inference. 10.1
Differential Expression. 10.2 Prediction and Learning. Bibliography. Index.