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 Yamanashi University
3 ACASA - Agents Cognitifs et Apprentissage Symbolique Automatique
4 PRC - Physiologie de la reproduction et des comportements [Nouzilly]
5 NII - National Institute of Informatics

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.

Domaines: Bio-informatique [q-bio.QM]

Adrien Rougny, Yoshitaka Yamamoto, Hidetomo Nabeshima, Gauvain Bourgne, Anne Poupon, et al.. Completing signaling networks by abductive reasoning with perturbation experiments. 25th International Conference on Inductive Logic Programming, Aug 2015, Kyoto, Japan. ⟨hal-01259205⟩