A survey of models for inference of gene regulatory networks

Ristevski, Blagoj (2013) A survey of models for inference of gene regulatory networks. Nonlinear Analysis: Modelling and Control, 18 (4). pp. 444-465. ISSN 1392-5113

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In this article, I present the biological backgrounds of microarray, ChIP-chip and ChIPSeq technologies and the application of computational methods in reverse engineering of gene regulatory networks (GRNs). The most commonly used GRNs models based on Boolean networks, Bayesian networks, relevance networks, differential and difference equations are described. A novel model for integration of prior biological knowledge in the GRNs inference is presented, too. The advantages and disadvantages of the described models are compared. The GRNs validation criteria are depicted. Current trends and further directions for GRNs inference using prior knowledge are given at the end of the paper.

Item Type: Article
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Scientific Fields (Frascati) > Natural sciences > Mathematics
Divisions: Faculty of Information and Communication Technologies
Depositing User: Mrs Natasha Blazheska-Tabakovska
Date Deposited: 20 Jan 2020 13:13
Last Modified: 20 Jan 2020 13:13
URI: https://eprints.uklo.edu.mk/id/eprint/2354

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