Likelihood-Based Approach to Gene Set Enrichment Analysis with a Finite Mixture Model

Overview

Journal Stat Biosci

Date 2014 Jun 4

PMID 24891922

Citations 1

Authors

Sang Mee Lee

Baolin Wu

John H Kersey

Affiliations

Soon will be listed here.

Abstract

In this paper, we study a parametric modeling approach to gene set enrichment analysis. Existing methods have largely relied on nonparametric approaches employing, e.g., categorization, permutation or resampling-based significance analysis methods. These methods have proven useful yet might not be powerful. By formulating the enrichment analysis into a model comparison problem, we adopt the likelihood ratio-based testing approach to assess significance of enrichment. Through simulation studies and application to gene expression data, we will illustrate the competitive performance of the proposed method.

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