Skip to main content

Table 3 Performance comparison on 5618 Euk-mPLoc protein dataset

From: Gene ontology based transfer learning for protein subcellular localization

Subnuclear location

size

GO-TLM

  

SP

SE

MCC

Acrosome

17

0.9286

0.7647

0.8422

Cell

53

0.8085

0.7170

0.7593

Centriole

64

0.8958

0.6719

0.7737

Chloroplast

501

0.9681

0.9681

0.9650

Cyanelle

85

1.0000

0.9882

0.9940

Cytoplasm

1060

0.6356

0.7983

0.6475

Cytoskeleton

74

0.2500

0.0877

0.1431

Endoplasmic

364

0.7453

0.7790

0.7461

Endosome

89

0.6591

0.3867

0.4999

Extracell

640

0.7895

0.6402

0.7034

Golgi

254

1.0000

0.9231

0.9607

Hydrogenosome

13

0.7872

0.5968

0.6825

Lysosome

80

1.0000

0.4615

0.6789

Melanosome

13

0.6000

0.3103

0.4295

Microsome

31

0.9349

0.8865

0.9020

Mitochondrion

535

0.8071

0.8145

0.7689

Nucleus

1333

0.9412

0.8696

0.9032

Peroxisome

97

0.8059

0.7781

0.7658

Plasma

725

0.9260

0.8410

0.8694

Spindle pole

36

0.8750

0.4118

0.5995

Synapse

15

1.0000

0.5385

0.7334

Vacuole

102

0.9176

0.8571

0.8851

Overall Accuracy

80.38%

Baseline: Euk-mPLoc model

67.40%

Baseline: Fuzzy K-NN model

62.25%

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us