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Fig. 7 | Genome Biology

Fig. 7

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

Fig. 7

Benchmark of the elapsed time and peak memory usage across datasets with different number of cell types, ranging from 5 to 20. a The running time and peak memory usage of methods that uses only a single CPU core (i.e. densityCut, scLCA, SIMLR, Monocle3, Seurat, Spectrum, and SINCERA). b The running time and peak memory usage of methods that employ multiple cores for parallel computing (i.e. ACTIONet, RaceID, scCCESS-Kmeans, SHARP, CIDR, SC3 and scCCESS-SIMLR)

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