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

SUMMARY: We introduce the caspo toolbox, a python package implementing a workflow for reasoning 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...

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Detalles Bibliográficos
Autores principales: Videla, Santiago, Saez-Rodriguez, Julio, Guziolowski, Carito, Siegel, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351548/
https://www.ncbi.nlm.nih.gov/pubmed/28065903
http://dx.doi.org/10.1093/bioinformatics/btw738
Descripción
Sumario:SUMMARY: We introduce the caspo toolbox, a python package implementing a workflow for reasoning 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.