AGN Simulation and Validation Model
An important question in computational biology is how genes are regulated and interact through gene networks. Some methods for the identification of gene networks from temporal data were proposed. An important open problem regards how to validate such resulting networks. This work presents an approach to validate such algorithms, considering three main aspects: (1) AGN model generation and simulation; (2) gene network identification; (3) validation of identified network.
KeywordsGene Network Probabilistic Boolean Network Rule Table Sequential Forward Float Selection Intraerythrocytic Development
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- 2.Barrera, J., Cesar Jr., R.M., Martins Jr., D.C., et al.: Constructing probabilistic genetic networks of Plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle. In: Methods of Microarray Data Analysis V. Springer, Heidelberg (2006)Google Scholar
- 3.Liang, S., Fuhrman, S., Somogyi, R.: Reveal: a general reverse engineering algorithm for inference of genetic network architectures, pp. 18–29 (1998)Google Scholar
- 5.Mendes, P., Sha, W., Ye, K.: Artificial gene networks for objective comparison of analysis algorithms. Bioinformatics 19(Suppl. 2), 122ii–129 (2003)Google Scholar