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Table 1 Performance comparison on 5859 MultiLoc protein dataset

From: Gene ontology based transfer learning for protein subcellular localization

Subcellular location

Size

MultiLoc

MultiLoc-GO

GO-TLM

   

SP

SE

MCC

-

SP

SE

MCC

Fungi

(5407)

cytoplasm

1411

0.68

0.85

0.70

-

0.9181

0.9773

0.9306

 

endoplasmic

198

0.71

0.59

0.63

-

0.9611

0.8737

0.9136

 

extracellular

843

0.73

0.81

0.73

-

0.9915

0.9656

0.9749

 

golgi

150

0.71

0.53

0.60

-

0.9530

0.9467

0.9485

 

mitochondria

510

0.88

0.82

0.83

-

0.9723

0.9647

0.9655

 

nucleus

837

0.81

0.74

0.73

-

0.9754

0.9486

0.9558

 

peroxisome

157

0.68

0.30

0.43

-

0.9735

0.9363

0.9535

 

plasmamembrane

1238

0.76

0.89

0.78

-

0.9869

0.9774

0.9774

 

vacuole (Astrik)

63

0.76

0.24

0.42

-

0.9355

0.9206

0.9273

Plant

(5856)

chloroplast (Astrik)

449

0.88

0.85

0.85

-

1.0000

0.9911

0.9952

 

Overall Accuracy

74.60%

89.60%

96.65%

Animal

(5547)

cytoplasm

1411

0.67

0.85

0.68

-

0.9221

0.9809

0.9340

 

endoplasmic

198

0.68

0.56

0.60

-

0.9667

0.8788

0.9189

 

extracellular

843

0.79

0.83

0.77

-

0.9891

0.9692

0.9753

 

golgi

150

0.71

0.43

0.53

-

0.9527

0.9400

0.9448

 

mitochondria

510

0.88

0.82

0.83

-

0.9723

0.9627

0.9642

 

nucleus

837

0.82

0.73

0.73

-

0.9826

0.9438

0.9566

 

peroxisome

157

0.71

0.31

0.44

-

0.9799

0.9299

0.9533

 

plasmamembrane

1238

0.73

0.90

0.76

-

0.9765

0.9750

0.9687

 

lysosome (Astrik)

103

0.69

0.36

0.48

-

0.9592

0.9126

0.9344

 

Overall Accuracy

74.60%

89.60%

96.27%