A comparison of models for gene regulatory networks inference

Ristevski, Blagoj and Loshkovska, Suzana (2010) A comparison of models for gene regulatory networks inference. In: The 2nd International Conference ICT Innovations 2010, 12-15 September, Ohrid, Republic of Macedonia.

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Abstract

Gene regulatory networks are complex networks composed of nodes representing genes, transcription factors, microRNAs and other components or modules and their mutual interactions represented by edges. These networks can reveal and depict the fundamental gene regulatory mechanisms in the cells. In this paper we compare the obtained results of gene regulatory networks inference from gene expression microarray data. We have used dynamic Bayesian networks, Boolean networks and graphical Gaussian models as models for network inference. We applied three different size gene expression datasets simulated using a simple autoregressive process. After network inference, we compared the values of the area under ROC curve (AUC) as a validation measure. Some directions for further improved approach for GRNs reconstruction which will include prior knowledge are proposed at the end of this 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 Tabakovska
Date Deposited: 20 Jan 2020 13:14
Last Modified: 20 Jan 2020 13:14
URI: http://eprints.uklo.edu.mk/id/eprint/2358

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