Reverse Engineering of A. thaliana Gene Regulatory Networks

Ristevski, Blagoj (2017) Reverse Engineering of A. thaliana Gene Regulatory Networks. In: 9th ICT Innovations Conference 2017, 21-23 September, Skopje, Republic of Macedonia.

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In this paper, biological background of cells' regulatory mechanisms as well as gene regulatory networks are described. The models applied to infer gene regulatory networks such as Boolean networks, dynamic Bayesian networks , graphical Gaussian models and the novel two-stage model based on integration of a priori biological knowledge are described. These inference models are applied on Arabidopsis thaliana time series gene expression data subset. To compare models inference capabilities, ROC and AUC value as validation criteria are used. Some further directions for inference of gene regulatory networks as well as microRNA-mediated networks and model development are given at the end of the paper.

Item Type: Conference or Workshop Item (Paper)
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Information and Communication Technologies
Depositing User: Mrs Natasha Blazheska-Tabakovska
Date Deposited: 20 Jan 2020 13:10
Last Modified: 20 Jan 2020 13:10

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