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Fast and memory-efficient scRNA-seq k-means clustering with various distances

Single-cell RNA-sequencing (scRNA-seq) analyses typically begin by clustering a gene-by-cell expression matrix to empirically define groups of cells with similar expression profiles. We describe new methods and a new open source library, minicore, for efficient k-means++ center finding and k-means c...

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Detalles Bibliográficos
Autores principales: Baker, Daniel N., Dyjack, Nathan, Braverman, Vladimir, Hicks, Stephanie C., Langmead, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586878/
https://www.ncbi.nlm.nih.gov/pubmed/34778889
http://dx.doi.org/10.1145/3459930.3469523