Abstract
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.
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© 2008 Springer-Verlag Berlin Heidelberg
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Lopes, F.M., Cesar, R.M., da F. Costa, L. (2008). AGN Simulation and Validation Model. In: Bazzan, A.L.C., Craven, M., Martins, N.F. (eds) Advances in Bioinformatics and Computational Biology. BSB 2008. Lecture Notes in Computer Science(), vol 5167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85557-6_17
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DOI: https://doi.org/10.1007/978-3-540-85557-6_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85556-9
Online ISBN: 978-3-540-85557-6
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