A statistical framework for modeling gene expression using chromatin features and application to modENCODE datasets
Genome biology2011Vol. 12(2), pp. R15–R15
Citations Over TimeTop 10% of 2011 papers
Chao Cheng, Koon‐Kiu Yan, Kevin Y. Yip, Joel Rozowsky, Roger P. Alexander, Chong Shou, Mark Gerstein
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.
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