Data-driven reverse engineering of signaling pathways using ensembles of dynamic models

Despite significant efforts and remarkable progress, the inference of signaling networks from experimental data remains very challenging. The problem is particularly difficult when the objective is to obtain a dynamic model capable of predicting the effect of novel perturbations not considered durin...

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Detalles Bibliográficos
Autores principales: Henriques, David, Villaverde, Alejandro F., Rocha, Miguel, Saez-Rodriguez, Julio, Banga, Julio R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319798/
https://www.ncbi.nlm.nih.gov/pubmed/28166222
http://dx.doi.org/10.1371/journal.pcbi.1005379

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319798/
https://www.ncbi.nlm.nih.gov/pubmed/28166222
http://dx.doi.org/10.1371/journal.pcbi.1005379

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