Estimating drivers of cell state transitions using gene regulatory network models

BACKGROUND: Specific cellular states are often associated with distinct gene expression patterns. These states are plastic, changing during development, or in the transition from health to disease. One relatively simple extension of this concept is to recognize that we can classify different cell-ty...

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Detalles Bibliográficos
Autores principales: Schlauch, Daniel, Glass, Kimberly, Hersh, Craig P., Silverman, Edwin K., Quackenbush, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729420/
https://www.ncbi.nlm.nih.gov/pubmed/29237467
http://dx.doi.org/10.1186/s12918-017-0517-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729420/
https://www.ncbi.nlm.nih.gov/pubmed/29237467
http://dx.doi.org/10.1186/s12918-017-0517-y

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