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Machine Learning of Stem Cell Identities From Single-Cell Expression Data via Regulatory Network Archetypes

The molecular regulatory network underlying stem cell pluripotency has been intensively studied, and we now have a reliable ensemble model for the “average” pluripotent cell. However, evidence of significant cell-to-cell variability suggests that the activity of this network varies within individual...

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Detalles Bibliográficos
Autores principales: Stumpf, Patrick S., MacArthur, Ben D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349820/
https://www.ncbi.nlm.nih.gov/pubmed/30723489
http://dx.doi.org/10.3389/fgene.2019.00002

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