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Table 8 Performance of MSLP and other Tools on TEST-01 for five locations

From: MSLP: mRNA subcellular localization predictor based on machine learning techniques

Location (no of sequence)

Metric

mRNALoc

mRNALocater

MSLP

Cytoplasm (1066)

Sn

73.26

79.64

61.80

Sp

58.06

ā€“

77.30

Acc

64.55

ā€“

70.30

Nucleus (976)

Sn

50.20

26.13

71.70

Sp

81.62

ā€“

75.00

Acc

69.35

ā€“

73.70

ER (241)

Sn

75.10

09.13

85.10

Sp

68.60

ā€“

61.40

Acc

69.23

ā€“

63.70

ExRĀ  (145)

Sn

81.38

95.86

78.60

Sp

56.67

ā€“

75.50

Acc

58.10

ā€“

75.70

Mitochondria (71)

Sn

87.32

83.10

98.60

Sp

97.16

ā€“

90.30

Acc

96.88

ā€“

90.50

  1. For our method MSLP, we mentioned the results from the CatBoost model. ā€ā€“ā€:mRNALocater did not consider any negative set, so it is not comparable. Bold numbers highlight the best value of performance metrics