Completing signaling networks by abductive reasoning with perturbation experiments

Adrien Rougny; Yoshitaka Yamamoto; Hidetomo Nabeshima; Gauvain Bourgne; Anne Poupon; Katsumi Inoue; Christine Froidevaux

Completing signaling networks by abductive reasoning with perturbation experiments

Adrien Rougny ¹ Yoshitaka Yamamoto ² Hidetomo Nabeshima ² Gauvain Bourgne ³ Anne Poupon ⁴ Katsumi Inoue ⁵ Christine Froidevaux ¹

1 LRI - Laboratoire de Recherche en Informatique

2 University of Yamanashi

3 ACASA - Agents Cognitifs et Apprentissage Symbolique Automatique

LIP6 - Laboratoire d'Informatique de Paris 6

4 PRC - Physiologie de la reproduction et des comportements [Nouzilly]

5 NII - National Institute of Informatics

Abstract : We propose in this paper an abductive method that allows, given a biological network, to check whether some experimental observations can be causally explained by the network and to use the unexplained observations to complete the network. We then apply the method on the FSHR-induced signaling network.

Document type :

Conference papers

Domain :

Computer Science [cs] / Bioinformatics [q-bio.QM]

Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01259205
Contributor : Adrien Rougny <>
Submitted on : Wednesday, January 20, 2016 - 10:23:42 AM
Last modification on : Thursday, March 21, 2019 - 2:14:26 PM

Completing signaling networks by abductive reasoning with perturbation experiments

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Completing signaling networks by abductive reasoning with perturbation experiments

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