We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Flexible empirical Bayes models for differential gene expression.
- Authors
Lo, Kenneth; Gottardo, Raphael
- Abstract
Inference about differential expression is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increasingly popular for this type of problem. The two most common hierarchical models are the hierarchical Gamma-Gamma (GG) and Lognormal-Normal (LNN) models. However, to facilitate inference, some unrealistic assumptions have been made. One such assumption is that of a common coefficient of variation across genes, which can adversely affect the resulting inference.
- Publication
Bioinformatics (Oxford, England), 2007, Vol 23, Issue 3, p328
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btl612