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MultiK: an automated tool to determine optimal cluster numbers in single-cell RNA sequencing data.


ABSTRACT: Single-cell RNA sequencing (scRNA-seq) provides new opportunities to characterize cell populations, typically accomplished through some type of clustering analysis. Estimation of the optimal cluster number (K) is a crucial step but often ignored. Our approach improves most current scRNA-seq cluster methods by providing an objective estimation of the number of groups using a multi-resolution perspective. MultiK is a tool for objective selection of insightful Ks and achieves high robustness through a consensus clustering approach. We demonstrate that MultiK identifies reproducible groups in scRNA-seq data, thus providing an objective means to estimating the number of possible groups or cell-type populations present.

SUBMITTER: Liu S 

PROVIDER: S-EPMC8375188 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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MultiK: an automated tool to determine optimal cluster numbers in single-cell RNA sequencing data.

Liu Siyao S   Thennavan Aatish A   Garay Joseph P JP   Marron J S JS   Perou Charles M CM  

Genome biology 20210819 1


Single-cell RNA sequencing (scRNA-seq) provides new opportunities to characterize cell populations, typically accomplished through some type of clustering analysis. Estimation of the optimal cluster number (K) is a crucial step but often ignored. Our approach improves most current scRNA-seq cluster methods by providing an objective estimation of the number of groups using a multi-resolution perspective. MultiK is a tool for objective selection of insightful Ks and achieves high robustness throug  ...[more]

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