Clustering Deviation Index (CDI): a robust and accurate internal measure for evaluating scRNA-seq data clustering.
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ABSTRACT:
SUBMITTER: Fang J
PROVIDER: S-EPMC9793368 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature
Publications
Clustering Deviation Index (CDI): a robust and accurate internal measure for evaluating scRNA-seq data clustering.
Fang Jiyuan J Chan Cliburn C Owzar Kouros K Wang Liuyang L Qin Diyuan D Li Qi-Jing QJ Xie Jichun J
Genome biology 20221227 1
Most single-cell RNA sequencing (scRNA-seq) analyses begin with cell clustering; thus, the clustering accuracy considerably impacts the validity of downstream analyses. In contrast with the abundance of clustering methods, the tools to assess the clustering accuracy are limited. We propose a new Clustering Deviation Index (CDI) that measures the deviation of any clustering label set from the observed single-cell data. We conduct in silico and experimental scRNA-seq studies to show that CDI can s ...[more]
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