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Table 1 Time spent in processing data for one-hot, k-gram and k-mer (seconds)

From: DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites

RBPs

One-hot(s)

k-gram(s)

k-mer(s)

C17ORF85 PAR-CLIP

1.21

166.94

56.26

CAPRIN1 PAR-CLIP

4.43

698.55

236.86

C22ORF28 PAR-CLIP

5.17

776.85

264.13

ALKBH5 PAR-CLIP

0.72

108.97

36.60

ELAVL1 HITS-CLIP

4.86

730.46

247.91

HNRNPC iCLIP

10.34

1707.43

544.39

SFRS1 HITS-CLIP

9.56

1646.51

557.26

AGO2 HITS-CLIP

21.79

3801.02

1310.53

TDP43 iCLIP

39.82

6768.75

2195.09

AGO1-4 PAR-CLIP

17.09

2875.98

975.49

TIAL1 iCLIP

21.40

3501.71

1181.97

TIA1 iCLIP

7.76

1350.94

454.44

EWSR1 PAR-CLIP

8.70

1373.17

467.09

ELAVL1 PAR-CLIP(A)

11.60

2005.25

677.86

ELAVL1 PAR-CLIP(B)

5.19

847.13

288.93

FUS PAR-CLIP

18.47

2863.57

994.37

PUM2 PAR-CLIP

5.65

904.35

307.65

IGF2BP1-3 PAR-CLIP

4.61

696.19

234.87

MOV10 PAR-CLIP

7.79

1214.91

429.22

ELAVL1 PAR-CLIP(C)

58.01

9836.02

3327.17

ZC3H7B PAR-CLIP

12.16

1955.89

656.31

PTB HITS-CLIP

24.31

3705.75

1285.36

TAF15 PAR-CLIP

4.78

702.27

237.64

QKI PAR-CLIP

6.17

982.99

328.93

Sum

311.58

51221.59

17296.34

Average

12.98

2134.23

720.68

  1. The shortest total time and average time among the three data processing methods are shown in bold font