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Table 2 Computation times (second) of the matrix factorization-based methods on human brain scRNAseq data set, k represents the number of factors

From: A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data

Method k=2 k=4 k=6 k=10 k=15 k=20
PCA 11.54 11.55 11.70 11.35 11.37 11.59
Nimfa 639.15 1990.66 2260.13 2490.05 2705.42 2924.87
NMFEM 1471.39 1628.2 1913.11 2248.18 2659.23 3027.5
tSNE 1.85 14.41 32.11 56.01 77.20 101.25
ZIFA 5331.25 5831.04 6347.08 6987.52 7338.26 7722.33
pCMF 12391.6 13517.12 14260.26 15111.55 15978.44 17158.42
ZINB-WaVE 71053.1 79402.17 90118.3 101072.9 115379.7 126575.2
scNBMF 456.12 478.90 541.31 717.88 1053.22 1563.75