Microarray Innovations: technology and experimentation/ edited by Gary Hardiman.

Chapter 1 Introduction to gene expression profiling with DNA microarray technology
Chapter 2 Introduction to large-scale gene expression data analysis
Chapter 3 The statistical design and analysis of gene expression data
Chapter 4 Laboratory automation for microarray experimentation
Chapter 5 How to evaluate a microarray scanner
Chapter 6 The role of substrates in microarray experimentation and how to choose the correct coating for microarraying
Chapter 7 Towards highly efficient automated hybridizations
Chapter 8 Characterization of hybridization stoichiometry using a noncompetitive microarray assay
Chapter 9 Data normalization selection
Chapter 10 Methods for assessing microarray performance
Chapter 11 Comparison of different normalization methods for applied biosystems expression array system
Chapter 12 A systematic comparison of gene expression measurements across different hybridization-based technologies
Chapter 13 DNA methylation arrays : methods and analysis
Chapter 14 Electronic microarrays : progress toward DNA diagnostics
Chapter 15 New applications for microarrays
Chapter 16 Development of an oligonucleotide microarray for mutational analysis using single or multiple sample hybridization
Chapter 17 Development of an integrated molecular diagnostic test to identify respiratory viruses
Chapter 18 Microarrays in neuroscience
Chapter 19 Optimization of protein array fabrication for establishing high throughput ultra-sensitive microarray assays for cancer research