An entropy-based metric for assessing the purity of single cell populations

Autor: Baolin Liu, Chenwei Li, Ziyi Li, Dongfang Wang, Xianwen Ren, Zemin Zhang
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-020-16904-3
Popis: Single cell RNA-seq is a powerful method to assign cell identity, but the purity of cell clusters arising from this data is not clear. Here the authors present an entropy-based statistic called ROGUE to quantify the purity of cell clusters, and identify subtypes within clusters.
Databáze: Directory of Open Access Journals