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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2019
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| 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 |