MicroCellClust: mining rare and highly specific subpopulations from single-cell expression data

MOTIVATION: Identifying rare subpopulations of cells is a critical step in order to extract knowledge from single-cell expression data, especially when the available data is limited and rare subpopulations only contain a few cells. In this paper, we present a data mining method to identify small sub...

Descripción completa

Detalles Bibliográficos
Autores principales: Gerniers, Alexander, Bricard, Orian, Dupont, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504615/
https://www.ncbi.nlm.nih.gov/pubmed/33830183
http://dx.doi.org/10.1093/bioinformatics/btab239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504615/
https://www.ncbi.nlm.nih.gov/pubmed/33830183
http://dx.doi.org/10.1093/bioinformatics/btab239

Ejemplares similares