Exploration and analysis of DNA microarray and other high-dimensional data / Dhammika Amaratunga, Janssen Pharmaceutical Companies of Johnson and Johnson, USA, Javier Cabrera, Rutgers University, USA, Ziv Shkedy, Hasselt University, Belgium
Cover; Title Page; Contents; Preface; Chapter 1 A Brief Introduction; 1.1 A Note on Exploratory Data Analysis; 1.2 Computing Considerations and Software; 1.3 A Brief Outline of the Book; 1.4 Data Sets and Case Studies; 1.4.1 The Golub Data; 1.4.2 The Mouse5 Data; 1.4.3 The Khan Data; 1.4.4 The Sialin Data; 1.4.5 The Behavioral Study Data; 1.4.6 The Spiked-In Data; 1.4.7 The APOAI Study; 1.4.8 The Breast Cancer Data; 1.4.9 Platinum Spike Data Set; 1.4.10 Human Epidermal Squamous Carcinoma Cell Line A431 Experiment; 1.4.11 Note: Public Repositories of Microarray Data; Chapter 2 Genomics Basics
2.1 Genes2.2 Deoxyribonucleic Acid; 2.3 Gene Expression; 2.4 Hybridization Assays and Other Laboratory Techniques; 2.5 The Human Genome; 2.6 Genome Variations and Their Consequences; 2.7 Genomics; 2.8 The Role of Genomics in Pharmaceutical Research and Clinical Practice; 2.9 Proteins; 2.10 Bioinformatics; Supplementary Reading; Chapter 3 Microarrays; 3.1 Types of Microarray Experiments; 3.1.1 Experiment Type 1: Tissue-Specific Gene Expression; 3.1.2 Experiment Type 2: Developmental Genetics; 3.1.3 Experiment Type 3: Genetic Diseases; 3.1.4 Experiment Type 4: Complex Diseases
3.1.5 Experiment Type 5: Pharmacological Agents3.1.6 Experiment Type 6: Plant Breeding; 3.1.7 Experiment Type 7: Environmental Monitoring; 3.2 A Very Simple Hypothetical Microarray Experiment; 3.3 A Typical Microarray Experiment; 3.3.1 Microarray Preparation; 3.3.2 Sample Preparation; 3.3.3 The Hybridization Step; 3.3.4 Scanning the Microarray; 3.3.5 Interpreting the Scanned Image; 3.4 Multichannel cDNA Microarrays; 3.5 Oligonucleotide Microarrays; 3.6 Bead-Based Arrays; 3.7 Confirmation of Microarray Results; Supplementary Reading and Electronic References
Chapter 4 Processing the Scanned Image4.1 Converting the Scanned Image to the Spotted Image; 4.1.1 Gridding; 4.1.2 Segmentation; 4.1.3 Quantification; 4.2 Quality Assessment; 4.2.1 Visualizing the Spotted Image; 4.2.2 Numerical Evaluation of Array Quality; 4.2.3 Spatial Problems; 4.2.4 Spatial Randomness; 4.2.5 Quality Control of Arrays; 4.2.6 Assessment of Spot Quality; 4.3 Adjusting for Background; 4.3.1 Estimating the Background; 4.3.2 Adjusting for the Estimated Background; 4.4 Expression-Level Calculation for Two-Channel cDNA Microarrays
4.5 Expression-Level Calculation for Oligonucleotide Microarrays4.5.1 The Average Difference; 4.5.2 A Weighted Average Difference; 4.5.3 Perfect Matches Only; 4.5.4 Background Adjustment Approach; 4.5.5 Model-Based Approach; 4.5.6 Absent-Present Calls; Supplementary Reading; Software Notes; Chapter 5 Preprocessing Microarray Data; 5.1 Logarithmic Transformation; 5.2 Variance Stabilizing Transformations; 5.3 Sources of Bias; 5.4 Normalization; 5.5 Intensity-Dependent Normalization; 5.5.1 Smooth Function Normalization; 5.5.2 Quantile Normalization; 5.5.3 Stagewise Normalization
Summary
Praise for the First Edition " ... extremely well written ... a comprehensive and up-to-date overview of this important field."--Journal of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data in biomedical research and offers an overview of the modern techniques used in microarray technology to
Bibliography
Includes bibliographical references and index
Notes
Online resource; title from digital title page (viewed on April 18, 2014)
