mbkmeans: Fast clustering for single cell data using mini-batch k-means

Single-cell RNA-Sequencing (scRNA-seq) is the most widely used high-throughput technology to measure genome-wide gene expression at the single-cell level. One of the most common analyses of scRNA-seq data detects distinct subpopulations of cells through the use of unsupervised clustering algorithms....

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Detalles Bibliográficos
Autores principales: Hicks, Stephanie C., Liu, Ruoxi, Ni, Yuwei, Purdom, Elizabeth, Risso, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864438/
https://www.ncbi.nlm.nih.gov/pubmed/33497379
http://dx.doi.org/10.1371/journal.pcbi.1008625

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864438/
https://www.ncbi.nlm.nih.gov/pubmed/33497379
http://dx.doi.org/10.1371/journal.pcbi.1008625

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