A general computational approach to predicting synergistic transcriptional cores that determine cell subpopulation identities

Advances in single-cell RNA-sequencing techniques reveal the existence of distinct cell subpopulations. Identification of transcription factors (TFs) that define the identity of these subpopulations poses a challenge. Here, we postulate that identity depends on background subpopulations, and is dete...

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Detalles Bibliográficos
Autores principales: Okawa, Satoshi, del Sol, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468312/
https://www.ncbi.nlm.nih.gov/pubmed/30820550
http://dx.doi.org/10.1093/nar/gkz147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468312/
https://www.ncbi.nlm.nih.gov/pubmed/30820550
http://dx.doi.org/10.1093/nar/gkz147

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