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Fig. 4 | Genome Biology

Fig. 4

From: Benchmarking clustering algorithms on estimating the number of cell types from single-cell RNA-sequencing data

Fig. 4

Bias analysis for each clustering algorithm on number of cell type estimation. a Median deviation values of each clustering algorithm on datasets with different number of cell types. b Coefficients of least squares fit to the median deviation value with respect to the number of cell types. c Median deviation values of each clustering algorithm on datasets with different number of cells (ranging from 50 to 250) in each cell type. Results are split by the number of cell types (i.e. 5, 10, 15, and 20). d Coefficients of least squares fit to the median deviation value with respect to the the number of cells in each cell type

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