Analysis of Microarray Gene Expression DataAuthor: Mei-Ling Ting Lee Published by Springer US ISBN: 978-0-7923-7087-1 DOI: 10.1007/b129531Table of Contents:Introduction DNA, RNA, Protein, and Gene Expression Microarray Technology Inherent Variability in Microarray Data Background Noise Transformation and Normalization Missing Values in Microarray Data Saturated Intensity Readings in Microarray Data Experimental Design Anova Models for Michrorray Data Multiple Testing in Microarray Studies Permutation Tests in Microarray Data Bayesian Methods for Microarray Data Power and Sample Size Considerations at the Planning Stage Cluster Analysis Principal Components and Singular Value Decomposition Self-organizing Maps Discrimination and Classification Artificial Neural Networks Support Vector Machines, Includes bibliographical references (p. [351]-365) and indexes, Mode of access: Internet