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Prioritizing predicted cis-regulatory elements for co-expressed gene sets based on Lasso regression models

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3 Author(s)
Hong Hu ; Dept. of Bioeng., Univ. of Illinois at Chicago, Chicago, IL, USA ; Roqueiro, Damian ; Yang Dai

Computational prediction of cis-regulatory elements for a set of co-expressed genes based on sequence analysis provides an overwhelming volume of potential transcription factor binding sites. It presents a challenge to prioritize transcription factors for regulatory functional studies. A novel approach based on the use of Lasso regression models is proposed to address this problem. We examine the ability of the Lasso model using time-course microarray data obtained from a comprehensive study of gene expression profiles in skin and mucosal wounds in mouse over all stages of wound healing.

Published in:

Engineering in Medicine and Biology Society,EMBC, 2011 Annual International Conference of the IEEE

Date of Conference:

Aug. 30 2011-Sept. 3 2011

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