Publication: Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data
Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data
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Weber, L. M., & Robinson, M. D. (2016). Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data. Cytometry. Part A, 89(12), 1084–1096. https://doi.org/10.1002/cyto.a.23030
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Recent technological developments in high-dimensional flow cytometry and mass cytometry (CyTOF) have made it possible to detect expression levels of dozens of protein markers in thousands of cells per second, allowing cell populations to be characterized in unprecedented detail. Traditional data analysis by "manual gating" can be inefficient and unreliable in these high-dimensional settings, which has led to the development of a large number of automated analysis methods. Methods designed for unsupervised analysis use specialized clus
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- Weber, Lukas M
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Weber, L. M., & Robinson, M. D. (2016). Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data. Cytometry. Part A, 89(12), 1084–1096. https://doi.org/10.1002/cyto.a.23030
