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Statistics for Microarrays: Design, Analysis and Inference - Wit, Ernst; McClure, John
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Wit, Ernst; McClure, John:

Statistics for Microarrays: Design, Analysis and Inference - hardcover

2004, ISBN: 0470849932

ID: 14067637886

[EAN: 9780470849934], [PU: Wiley], Mathematics|Probability & Statistics|General, Science|Life Sciences|Genetics & Genomics, This Book is in Good Condition. Clean Copy With Light Amount of Wear. 100% Guaranteed. Summary: Preface.1 Preliminaries.1.1 Using the R Computing Environment.1.1.1 Installing smida.1.1.2 Loading smida.1.2 Data Sets from Biological Experiments.1.2.1 Arabidopsis experiment: Anna Amtmann.1.2.2 Skin cancer experiment: Nighean Barr.1.2.3 Breast cancer experiment: John Bartlett.1.2.4 Mammary gland experiment: Gusterson group.1.2.5 Tuberculosis experiment: B?G@S group.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.2.2.1 Growing experimental material.2.2.2 Obtaining RNA.2.2.3 Adding spiking RNA and poly-T primer.2.2.4 Preparing the enzyme environment.2.2.5 Obtaining labelled cDNA.2.2.6 Preparing cDNA mixture for hybridization.2.2.7 Slide hybridization.3 Statistical Design of Microarrays.3.1 Sources of Variation.3.2 Replication.3.2.1 Biological and technical replication.3.2.2 How many replicates?3.2.3 Pooling samples.3.3 Design Principles.3.3.1 Blocking, crossing and randomization.3.3.2 Design and normalization.3.4 Single-channelMicroarray Design.3.4.1 Design issues.3.4.2 Design layout.3.4.3 Dealing with technical replicates.3.5 Two-channelMicroarray Designs.3.5.1 Optimal design of dual-channel arrays.3.5.2 Several practical two-channel designs.4 Normalization.4.1 Image Analysis.4.1.1 Filtering.4.1.2 Gridding.4.1.3 Segmentation.4.1.4 Quantification.4.2 Introduction to Normalization.4.2.1 Scale of gene expression data.4.2.2 Using control spots for normalization.4.2.3 Missing data.4.3 Normalization for Dual-channel Arrays.4.3.1 Order for the normalizations.4.3.2 Spatial correction.4.3.3 Background correction.4.3.4 Dye effect normalization.4.3.5 Normalization within and across conditions.4.4 Normalization of Single-channel Arrays.4.4.1 Affymetrix data structure.4.4.2 Normalization of Affymetrix data.5 Quality Assessment.5.1 Using MIAME in Quality Assessment.5.1.1 Components of MIAME.5.2 Comparing Multivariate Data.5.2.1 Measurement scale.5.2.2 Dissimilarity and distance measures.5.2.3 Representing multivariate data.5.3 Detecting Data Problems.5.3.1 Clerical errors.5.3.2 Normalization problems.5.3.3 Hybridization problems.5.3.4 Array mishandling.5.4 Consequences of Quality Assessment Checks.6 Microarray Myths: Data.6.1 Design.6.1.1 Single-versus dual-channel designs?6.1.2 Dye-swap experiments.6.2 Normalization.6.2.1 Myth: 'microarray data is Gaussian'.6.2.2 Myth: 'microarray data is not Gaussian'.6.2.3 Confounding spatial and dye effect.6.2.4 Myth: 'non-negative background subtraction'.II Getting Good Answers.7 Microarray Discoveries.7.1 Discovering Sample Classes.7.1.1 Why cluster samples?7.1.2 Sample dissimilarity measures.7.1.3 Clustering methods for samples.7.2 Exploratory Supervised Learning.7.2.1 Labelled dendrograms.7.2.2 Labelled PAM-type clusterings.7.3 Discovering Gene Clusters.7.3.1 Similarity measures for expression profiles.7.3.2 Gene clustering methods.8 Differential Expression.8.1 Introduction.8.1.1 Classical versus Bayesian hypothesis testing.8.1.2 Multiple testing 'problem'.8.2 Classical Hypothesis Testing.8.2.1 What is a hypothesis test?8.2.2 Hypothesis tests for two conditions.8.2.3 Decision rules.8.2.4 Results from skin cancer experiment.8.3 Bayesian Hypothesis Testing.8.3.1 A general testing procedure.8.3.2 Bayesian t-test.9 Predicting Outcomes with Gene Expression Profiles.

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Statistics for Microarrays: Design, Analysis and Inference - Ernst Wit#John McClure#Wit
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Statistics for Microarrays: Design, Analysis and Inference - new book

ISBN: 9780470849934

ID: 30962356

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. 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. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, John Wiley & Sons Inc

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Statistics  for Microarrays - Wit, Ernst; McClure, John
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Wit, Ernst; McClure, John:
Statistics for Microarrays - new book

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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. Technology Technology eBook, Wiley

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Statistics for Microarrays: Design Analysis and Inference Author :Ernst Wit John McClure 9780470849934 0470849932, [PU: Wiley]

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Ernst Wit; John McClure:
Statistics for Microarrays - hardcover

2004, ISBN: 9780470849934

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Details of the book
Statistics for Microarrays: Design, Analysis and Inference
Author:

Wit, Ernst; McClure, John

Title:

Statistics for Microarrays: Design, Analysis and Inference

ISBN:

0470849932

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.

Details of the book - Statistics for Microarrays: Design, Analysis and Inference


EAN (ISBN-13): 9780470849934
ISBN (ISBN-10): 0470849932
Hardcover
Publishing year: 2004
Publisher: John Wiley & Sons
278 Pages
Weight: 0,526 kg
Language: eng/Englisch

Book in our database since 10.02.2007 06:08:58
Book found last time on 20.10.2016 16:07:29
ISBN/EAN: 0470849932

ISBN - alternate spelling:
0-470-84993-2, 978-0-470-84993-4

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