GigaSOM.jl: High-performance clustering and visualization of huge cytometry datasets

BACKGROUND: The amount of data generated in large clinical and phenotyping studies that use single-cell cytometry is constantly growing. Recent technological advances allow the easy generation of data with hundreds of millions of single-cell data points with >40 parameters, originating from thous...

Descripción completa

Detalles Bibliográficos
Autores principales: Kratochvíl, Miroslav, Hunewald, Oliver, Heirendt, Laurent, Verissimo, Vasco, Vondrášek, Jiří, Satagopam, Venkata P, Schneider, Reinhard, Trefois, Christophe, Ollert, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672468/
https://www.ncbi.nlm.nih.gov/pubmed/33205814
http://dx.doi.org/10.1093/gigascience/giaa127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672468/
https://www.ncbi.nlm.nih.gov/pubmed/33205814
http://dx.doi.org/10.1093/gigascience/giaa127

Ejemplares similares