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Table 2 The trajectory inference results on 15 data sets

From: A robust and accurate single-cell data trajectory inference method using ensemble pseudotime

data set

scTEP

Slingshot

TSCAN

SCORPIUS

PAGA

Monocle3

VIA

1. Goolam

0.89

0.90

\(-0.27\)

\(-0.28\)

0.29

0.86

\(-0.63\)

2. Manno (Mouse)

0.27

0.30

\(-0.34\)

0.17

0.33

0.46

\(-0.18\)

3. Han

0.73

0.69

\(-0.76\)

0.39

0.66

0.19

0.27

4. Manno (Human)

0.68

0.77

\(-0.76\)

0.81

0.41

0.42

0.17

5. Yuzwa

0.66

0.41

0.62

\(-0.66\)

0.66

0.35

0.62

6. Pijuan

0.62

0.58

0.20

\(-0.82\)

0.56

0.67

0.86

7. Green

0.72

0.75

\(-0.50\)

\(-0.23\)

0.08

0.84

0.28

8. Hochgerner

0.67

0.57

0.23

\(-0.39\)

0.07

0.76

0.72

9. Vladoiu

0.50

0.16

0.31

0.13

0.23

0.59

0.73

10. Weinreb (Cytokine)

0.50

0.21

\(-0.32\)

0.05

0.30

0.40

NA

11. Ernst

0.68

0.73

0.65

-0.36

0.09

0.80

0.49

12. Delile

0.71

0.49

\(-0.50\)

-0.66

NA

0.35

0.31

13. Park

0.33

0.20

\(-0.58\)

0.48

0.06

0.70

\(-0.08\)

14. Weinreb (inVitro)

0.53

0.41

0.09

0.58

0.43

0.20

NA

15. Weinreb (inVivo)

0.64

0.36

\(-0.09\)

0.33

0.34

0.43

NA

Mean

0.61

0.50

\(-0.13\)

\(-0.03\)

0.32

0.53

0.30

Median

0.66

0.49

\(-0.27\)

0.05

0.315

0.59

0.30

Variance

0.025

0.054

0.216

0.248

0.047

0.051

0.19