Discovering novel phenotypes with automatically inferred dynamic models: a partial melanocyte conversion in Xenopus

Progress in regenerative medicine requires reverse-engineering cellular control networks to infer perturbations with desired systems-level outcomes. Such dynamic models allow phenotypic predictions for novel perturbations to be rapidly assessed in silico. Here, we analyzed a Xenopus model of convers...

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Detalles Bibliográficos
Autores principales: Lobo, Daniel, Lobikin, Maria, Levin, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5269672/
https://www.ncbi.nlm.nih.gov/pubmed/28128301
http://dx.doi.org/10.1038/srep41339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5269672/
https://www.ncbi.nlm.nih.gov/pubmed/28128301
http://dx.doi.org/10.1038/srep41339

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