A novel model for inference of gene regulatory networks

Ristevski, Blagoj and Loskoska, Suzana (2011) A novel model for inference of gene regulatory networks. HealthMed Journal, 5 (6). pp. 2024-2033. ISSN 1840-2291

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Abstract

Gene regulatory networks (GRNs) are complex networks consisted of nodes representing genes, transcription factors, microRNAs and edges that represent the interactions between nodes. GRNs can expose and depict underlying cells' gene regulatory mechanisms. In this paper, we propose a new model for inference of GRNs. This model includes prior knowledge into network inference. Our model was applied on generated gene expression time series with different number of genes and time points and one subset of experimental data received from colorectal cancer microarray experiment. To validate the inference capabilities of the proposed model, we compare the ROC curves and AUC values for proposed model and the common used models: dynamic Bayesian networks, Boolean networks and graphical Gaussian models. The proposed model has shown competitive inference capabilities in comparison with other models.

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 Tabakovska
Date Deposited: 20 Jan 2020 13:13
Last Modified: 20 Jan 2020 13:13
URI: http://eprints.uklo.edu.mk/id/eprint/2355

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