Post hoc pattern matching: assigning significance to statistically defined expression patterns in single channel microarray data.

ABSTRACT:

Background

Researchers using RNA expression microarrays in experimental designs with more than two treatment groups often identify statistically significant genes with ANOVA approaches. However, the ANOVA test does not discriminate which of the multiple treatment groups differ from one another. Thus, post hoc tests, such as linear contrasts, template correlations, and pairwise comparisons are used. Linear contrasts and template correlations work extremely well, especially when the researcher has a priori information pointing to a particular pattern/template among the different treatment groups. Further, all pairwise comparisons can be used to identify particular, treatment group-dependent patterns of gene expression. However, these approaches are biased by the researcher's assumpti

SUBMITTER: Hulshizer R 

PROVIDER: S-EPMC1934919 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature