Control of the False Discovery Rate with Bayes Factors. An application to Microarray data analysis

摘要

In this work we consider Multiple Hypothesis Testing approach to gene expression data analysis. We focus on controlling the False Discovery Rate by using Bayes Factors as test statistics and approximating their sampling distribution under the null hypothesis.