Joint analysis of heterogeneous single-cell RNA-seq dataset collections

Single-cell RNA-seq is being increasingly applied in complex study designs, commonly spanning multiple individuals, conditions, or tissues. Analysis of such heterogeneous collections requires a way of identifying recurrent cell subpopulations. We developed Conos, an approach that relies on multiple...

Descripción completa

Detalles Bibliográficos
Autores principales: Barkas, Nikolas, Petukhov, Viktor, Nikolaeva, Daria, Lozinsky, Yaroslav, Demharter, Samuel, Khodosevich, Konstantin, Kharchenko, Peter V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684315/
https://www.ncbi.nlm.nih.gov/pubmed/31308548
http://dx.doi.org/10.1038/s41592-019-0466-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684315/
https://www.ncbi.nlm.nih.gov/pubmed/31308548
http://dx.doi.org/10.1038/s41592-019-0466-z

Ejemplares similares