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Communication Dans Un Congrès Année : 2009

Inferring Update Sequences in Boolean Gene Regulatory Networks

Résumé

This paper employs mathematical programming and mixed integer linear programming techniques for solving a problem arising in the study of genetic regulatory networks. More precisely, we solve the inverse problem consisting in the determination of the sequence of updates in the digraph representing the gene regulatory network (GRN) of Arabidopsis thaliana in such a way that the generated gene activity is as close as possible to the observed data.
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Dates et versions

hal-01217886 , version 1 (21-10-2015)

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  • HAL Id : hal-01217886 , version 1

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Fabien Tarissan, Camilo La Rota. Inferring Update Sequences in Boolean Gene Regulatory Networks. Cologne-Twente Workshop on Graphs and Combinatorial Optimization 2009 (CTW'09), 2009, Paris, France. ⟨hal-01217886⟩
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