Approaches to reduce false positives and false negatives in the analysis of microarray data: applications in type 1 diabetes research

Abstract

Taken together, these data demonstrate how stringent statistical analysis, combined with hierarchical clustering and pathway analysis may offer deeper insight into the biological processes reflected from a set of expression array data. This approach allows us to 'recapture" false negative genes that otherwise would have been missed by the statistical analysis.