Gene Expression Arrays
Overview
Analysis of variance for expression data
Experimental design for microarrays
Bootstrapping cluster Analysis
Design and analysis of microarrays
Statistical analysis of a gene expression microarray experiment with replication
Analysis of a designed microarray experiment
Statistical analysis of a gene expression microarray experiment with replication
M. Kathleen Kerr, Cindy A. Afshari, Lee Bennett, Pierre Bushel, Jeanelle Martinez, Nigel Walker and Gary Churchill
Abstract:Common ratio-based approaches for analyzing gene expression microarray data do not provide a framework for handling replication, although replication is clearly desirable for this noisy data. In contrast, replication fits naturally into analysis of variance (ANOVA) methods. We use ANOVA to analyze data from a microarray experiment to compare gene expression in drug-treated and control cells lines. We discuss issues that commonly arise in the analysis of microarray data, and present practical solutions to some common problems. Manuscript