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Reconstruction of gene regulation networks from microarray data by Bayesian networks

Abstract : In this work, we reconstruct the gene regulation networks from the microarray experiments data by Bayesian networks approach. We use the evolutionary algorithm for the search-and-score based structure learning methods. The learned network is tested by the hypothesis testing with two populations of patient data, one with treatment (drugs), other without treatment. The answer of question "How does the treatment influence to gene regulation?" is expected.
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http://hal.univ-nantes.fr/hal-00582682
Contributor : Hoai-Tuong Nguyen <>
Submitted on : Sunday, April 3, 2011 - 5:42:26 PM
Last modification on : Friday, June 19, 2020 - 3:08:43 AM
Long-term archiving on: : Monday, July 4, 2011 - 2:31:35 AM

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  • HAL Id : hal-00582682, version 1

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Hoai-Tuong Nguyen, Gérard Ramstein, Philippe Leray, Yannick Jacques. Reconstruction of gene regulation networks from microarray data by Bayesian networks. MODGRAPH - Journées Ouvertes en Biologie, Informatique et Mathématiques (JOBIM), 2009, pp.42-46. ⟨hal-00582682⟩

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