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.

Type de document :

Communication dans un congrès

25th International Conference on Inductive Logic Programming, Aug 2015, Kyoto, Japan

Domaine :

Informatique [cs] / Bio-informatique [q-bio.QM]

Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01259205
Contributeur : Adrien Rougny <>
Soumis le : mercredi 20 janvier 2016 - 10:23:42
Dernière modification le : vendredi 31 août 2018 - 09:25:55

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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