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
Full text not available from this repository.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 Blazheska-Tabakovska |
| Date Deposited: | 20 Jan 2020 13:13 |
| Last Modified: | 20 Jan 2020 13:13 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/2355 |
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