A comparison framework and guideline of clustering methods for mass cytometry data

A comparison framework and guideline of clustering methods for mass cytometry data

Abstract Background With the expanding applications of mass cytometry in medical research, a wide variety of clustering methods, both semi-supervised and unsupervised, have been developed for data analysis. Selecting the optimal clustering method can accelerate the identification of meaningful cell...

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Bibliographic Details
Main Authors: Xiao Liu, Weichen Song, Brandon Y. Wong, Ting Zhang, Shunying Yu, Guan Ning Lin, Xianting Ding
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Genome Biology
Subjects:
Mass cytometry
CyTOF
Cell population
Clustering tools
Comparison
Online Access:https://doi.org/10.1186/s13059-019-1917-7

Internet

https://doi.org/10.1186/s13059-019-1917-7

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