caspo: a toolbox for automated reasoning on the response of logical signaling networks families

Abstract : Summary: We introduce the caspo toolbox, a python package implementing a workflow for rea- soning on logical networks families. Our software allows researchers to (i) learn a family of logical networks derived from a given topology and explaining the experimental response to various perturbations; (ii) classify all logical networks in a given family by their input-output behaviors; (iii) predict the response of the system to every possible perturbation based on the ensemble of predictions; (iv) design new experimental perturbations to discriminate among a family of logical networks; and (v) control a family of logical networks by finding all interventions strategies forcing a set of targets into a desired steady state. Availability and Implementation: caspo is open-source software distributed under the GPLv3 license. Source code is publicly hosted at http://github.com/bioasp/caspo.
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Bioinformatics, Oxford University Press (OUP), 2017, 〈10.1093/bioinformatics/btw738〉
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https://hal.inria.fr/hal-01426880
Contributeur : Anne Siegel <>
Soumis le : jeudi 5 janvier 2017 - 09:32:44
Dernière modification le : mercredi 16 mai 2018 - 11:23:35

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Santiago Videla, Julio Saez-Rodriguez, Carito Guziolowski, Anne Siegel. caspo: a toolbox for automated reasoning on the response of logical signaling networks families. Bioinformatics, Oxford University Press (OUP), 2017, 〈10.1093/bioinformatics/btw738〉. 〈hal-01426880〉

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