- Title
- Combining instantaneous and time-delayed interactions between genes - a two phase algorithm based on information theory
- Creator
- Morshed, Nizamul; Chetty, Madhu
- Date
- 2011
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/157211
- Identifier
- vital:11546
- Identifier
-
https://doi.org/10.1007/978-3-642-25832-9_11
- Identifier
- ISBN: 978-3-642-25831-2
- Abstract
- Understanding the way how genes interact is one of the fundamental questions in systems biology. The modeling of gene regulations currently assumes that genes interact either instantaneously or with a certain amount of time delay. In this paper, we propose an information theory based novel two-phase gene regulatory network (GRN) inference algorithm using the Bayesian network formalism that can model both instantaneous and single-step time-delayed interactions between genes simultaneously. We show the effectiveness of our approach by applying it to the analysis of synthetic data as well as the Saccharomyces cerevisiae gene expression data.
- Publisher
- Springer
- Relation
- AI'11 Perth, Australia, Dec 5th-8th, 2011; published in Proceedings of the 24th international conference on Advances in Artificial Intelligence, (LNCS: Lecture Notes In Computer Science) vol 7106 p.102-111
- Rights
- Copyright Springer
- Rights
- This metadata is freely available under a CCO license
- Subject
- Information theory; Bayesian network; Gene regulatory network
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