Markov State Models of gene regulatory networks

BACKGROUND: Gene regulatory networks with dynamics characterized by multiple stable states underlie cell fate-decisions. Quantitative models that can link molecular-level knowledge of gene regulation to a global understanding of network dynamics have the potential to guide cell-reprogramming strateg...

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Detalles Bibliográficos
Autores principales: Chu, Brian K., Tse, Margaret J., Sato, Royce R., Read, Elizabeth L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5294885/
https://www.ncbi.nlm.nih.gov/pubmed/28166778
http://dx.doi.org/10.1186/s12918-017-0394-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5294885/
https://www.ncbi.nlm.nih.gov/pubmed/28166778
http://dx.doi.org/10.1186/s12918-017-0394-4

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