A Statistical Problem for Inference to Regulatory Structure from Associations of Gene Expression Measurements with Microarrays

Tianjiao Chu, Clark Glymour, Richard Scheines, Peter Spirtes

Abstract: One approach to inferring genetic regulatory structure from microarray measurements of mRNA transcript hybridization is to estimate the associations of gene expression levels measured in repeated samples. The associations may be estimated by correlation coefficients or by conditional frequencies (for discretized measurements) or by some other statistic. Although these procedures have been successfully applied to other areas, their validity when applied to microarray measurements has yet to be tested