Ontology highlight
ABSTRACT:
SUBMITTER: Liu B
PROVIDER: S-EPMC7308400 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
Liu Baolin B Li Chenwei C Li Ziyi Z Wang Dongfang D Ren Xianwen X Zhang Zemin Z
Nature communications 20200622 1
Single-cell RNA sequencing (scRNA-seq) is a versatile tool for discovering and annotating cell types and states, but the determination and annotation of cell subtypes is often subjective and arbitrary. Often, it is not even clear whether a given cluster is uniform. Here we present an entropy-based statistic, ROGUE, to accurately quantify the purity of identified cell clusters. We demonstrate that our ROGUE metric is broadly applicable, and enables accurate, sensitive and robust assessment of clu ...[more]