Methods of Microarray Data Analysis

Papers from Camda 02

By: Kimberly F. Johnson (Editor), Simon M. Lin (Editor)

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Hardcover | 30 September 2003

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268 Pages

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23.5 x 15.88 x 1.91

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As microarray technology has matured, data analysis methods have advanced as well. Methods Of Microarray Data Analysis III is the third book in this pioneering series dedicated to the existing new field of microarrays. While initial techniques focused on classification exercises (volume I of this series), and later on pattern extraction (volume II of this series), this volume focuses on data quality issues. Problems such as background noise determination, analysis of variance, and errors in data handling are highlighted.

Three tutorial papers are presented to assist with a basic understanding of underlying principles in microarray data analysis, and twelve new papers are highlighted analyzing the same CAMDA'02 datasets: the Project Normal data set or the Affymetrix Latin Square data set. A comparative study of these analytical methodologies brings to light problems, solutions and new ideas. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state of art of microarray data analysis.

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Contributing Authors
Preface
Introduction
Tutorials
The Biology Behind Gene Expression: A Basic Tutorial
Monitoring the Quality of Microarray Experiments
Outliers in Microarray Data Analysis
Best Presentation Award
Organ-Specific Differences in Gene Expression and Unigene Annotations Describing Source Material
Analyzing Images. Characterization, Modeling, and Simulation of Mouse Microarray Data
Topological Adjustments to Genechip Expression Values
Normalizing Raw Data
Comparison of Normalization Methods for CDNA Microarrays
Characterizing Technical and Biological Variance
Simultaneous Assessment of Transcriptomic Variability and Tissue Effects in the Normal Mouse
How Many Mice and How Many Arrays? Replication in Mouse CDNA Microarray Experiments
Bayesian Characterization of Natural Variation in Gene Expression
Investigating Cross Hybridization On Oligonucleotide Microarrays
Quantification of Cross Hybridization on Oligonucleotide Microarrays
Assessing The Potential Effect Of Cross-Hybridization On Oligonucleotide Microarrays
Who Are Those Strangers in the Latin Square? Wen-Ping Hsieh
Finding Patterns and Seeking Biological Explanations
Bayesian Decomposition Classification of the Project Normal Data Set
The Use of Go Terms to Understand the Biological Significance of Microarray Differential Gene Expression Data
Acknowledgments
Index
Table of Contents provided by Publisher. All Rights Reserved.

Methods of Microarray Data Analysis

Papers from Camda 02

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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