De novo prediction of cell-type complexity in single-cell RNA-seq and tumor microenvironments

Recent single-cell transcriptomic studies revealed new insights into cell-type heterogeneities in cellular microenvironments unavailable from bulk studies. A significant drawback of currently available algorithms is the need to use empirical parameters or rely on indirect quality measures to estimat...

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Detalles Bibliográficos
Autores principales: Woo, Jun, Winterhoff, Boris J., Starr, Timothy K., Aliferis, Constantin, Wang, Jinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2019
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607449/
https://www.ncbi.nlm.nih.gov/pubmed/31266885
http://dx.doi.org/10.26508/lsa.201900443

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607449/
https://www.ncbi.nlm.nih.gov/pubmed/31266885
http://dx.doi.org/10.26508/lsa.201900443

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