Ristevski, Blagoj (2017) Reverse Engineering of A. thaliana Gene Regulatory Networks. In: 9th ICT Innovations Conference 2017, 21-23 September, Skopje, Republic of Macedonia.
Full text not available from this repository.Abstract
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 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/2347 |
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