A regularized Hotelling's T² test for pathway analysis in proteomic studies.

ABSTRACT: Recent proteomic studies have identified proteins related to specific phenotypes. In addition to marginal association analysis for individual proteins, analyzing pathways (functionally related sets of proteins) may yield additional valuable insights. Identifying pathways that differ between phenotypes can be conceptualized as a multivariate hypothesis testing problem: whether the mean vector μ of a p-dimensional random vector X is μ₀ . Proteins within the same biological pathway may correlate with one another in a complicated way, and type I error rates can be inflated if such correlations are incorrectly assumed to be absent. The inflation tends to be more pronounced when the sample size is very small or there is a large amount of missingness in the

SUBMITTER: Chen LS 

PROVIDER: S-EPMC3755504 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature