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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

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BMC Systems Biology

ISSN: 1752-0509

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