Estimating the proportion of differentially expressed genes in comparative DNA microarray experiments

TL;DR

This paper introduces a new methodology for estimating the proportion of differentially expressed genes in DNA microarray experiments, validated through simulations and real toxicology data comparisons.

Contribution

The paper presents a novel statistical method for estimating differentially expressed gene proportions, improving analysis accuracy in microarray experiments.

Findings

The proposed method performs well in simulation studies.

It provides consistent estimates in real toxicology data.

Compared to standard methods, it offers improved accuracy.

Abstract

DNA microarray experiments, a well-established experimental technique, aim at understanding the function of genes in some biological processes. One of the most common experiments in functional genomics research is to compare two groups of microarray data to determine which genes are differentially expressed. In this paper, we propose a methodology to estimate the proportion of differentially expressed genes in such experiments. We study the performance of our method in a simulation study where we compare it to other standard methods. Finally we compare the methods in real data from two toxicology experiments with mice.