PARC: ultrafast and accurate clustering of phenotypic data of millions of single cells

MOTIVATION: New single-cell technologies continue to fuel the explosive growth in the scale of heterogeneous single-cell data. However, existing computational methods are inadequately scalable to large datasets and therefore cannot uncover the complex cellular heterogeneity. RESULTS: We introduce a...

Descripción completa

Detalles Bibliográficos
Autores principales: Stassen, Shobana V, Siu, Dickson M D, Lee, Kelvin C M, Ho, Joshua W K, So, Hayden K H, Tsia, Kevin K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203756/
https://www.ncbi.nlm.nih.gov/pubmed/31971583
http://dx.doi.org/10.1093/bioinformatics/btaa042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203756/
https://www.ncbi.nlm.nih.gov/pubmed/31971583
http://dx.doi.org/10.1093/bioinformatics/btaa042

Ejemplares similares