Chaturvedi, Iti (2013) Bayesian framework for building gene regulatory networks including delays. PhD thesis, Nanyang Technological University.

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Abstract

Any biological activity is due to several genes regulating one another in a gene regulatory network (GRN). GRN are causal models where activation of one gene could cause another gene to be activated or inhibited. Dynamic Bayesian networks (DBN) are being widely used to model GRN because of their ability to capture complex regulatory interactions among genes. DBN are presumed to be of first-order such that gene expression at a particular time point is only dependant on the previous time point. However, regulatory events are inherently asynchronous and transpire at different times, and involve delays. In order to account for delays in GRN, we propose higher-order DBN.

Item ID:	90849
Item Type:	Thesis (PhD)
Additional Information:	This thesis is open access from Nanyang Technological University.
Date Deposited:	12 Mar 2026 05:02
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460206 Knowledge representation and reasoning @ 100%
SEO Codes:	22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence @ 100%
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