The Beta-Binomial Distribution for Estimating the Number of False Rejections in Microarray Gene Expression Studies.

ABSTRACT: In differential expression analysis of microarray data, it is common to assume independence among null hypotheses (and thus gene expression levels). The independence assumption implies that the number of false rejections V follows a binomial distribution and leads to an estimator of the empirical false discovery rate (eFDR). The number of false rejections V is modeled with the beta-binomial distribution. An estimator of the beta-binomial false discovery rate (bbFDR) is then derived. This approach accounts for how the correlation among non-differentially expressed genes influences the distribution of V. Permutations are used to generate the observed values for V under the null hypotheses and a beta-binomial distribution is fit to the values of V. The bbFDR estimator is compared to the eFDR

SUBMITTER: Hunt DL 

PROVIDER: S-EPMC2845402 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature