Sparse Bayesian promoter based gene classification

Lee, K. K., Cawley, G. C. ORCID: https://orcid.org/0000-0002-4118-9095 and Bevan, M. W. (2005) Sparse Bayesian promoter based gene classification. In: European Symposium on Artificial Neural Networks, 2005-04-27 - 2005-04-29.

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Abstract

A method to distinguish between co-regulated genes that are up- or down-regulated under a given treatment, based on the composition of the upstrem promoter region, would be a valuable tool in deciphering gene regulatory networks. Ideally, the classification should be based on a small number of regulatory motifs, whos presence in the promoter region of a gene induce a significant effect on its transcriptional regulation. In this paper, we investigate the use of Relevance Vector Machines for this task, and present initial results of an analysis of glucose response in the model plant Arabidopsis thaliana, that has revealed novel biological information.

Item Type:	Conference or Workshop Item (Paper)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Computational Biology Faculty of Science > Research Groups > Data Science and Statistics Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences
Depositing User:	Vishal Gautam
Date Deposited:	14 Jun 2011 15:05
Last Modified:	20 Jun 2023 14:33
URI:	https://ueaeprints.uea.ac.uk/id/eprint/23867
DOI:

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