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Genome Biol. 2011;12(2):R15. doi: 10.1186/gb-2011-12-2-r15. Epub 2011 Feb 16.

A statistical framework for modeling gene expression using chromatin features and application to modENCODE datasets.

Author information

1
Department of Molecular Biophysics and Biochemistry, Yale University, 260 Whitney Avenue, New Haven, CT 06520, USA.

Abstract

We develop a statistical framework to study the relationship between chromatin features and gene expression. This can be used to predict gene expression of protein coding genes, as well as microRNAs. We demonstrate the prediction in a variety of contexts, focusing particularly on the modENCODE worm datasets. Moreover, our framework reveals the positional contribution around genes (upstream or downstream) of distinct chromatin features to the overall prediction of expression levels.

PMID:
21324173
PMCID:
PMC3188797
DOI:
10.1186/gb-2011-12-2-r15
[Indexed for MEDLINE]
Free PMC Article

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