(a) Performance on the viral protein dataset
|
---|
Label
|
Subcellular location
|
LOOCV locative accuracy
|
---|
| |
Virus-mPLoc [[37]]
|
KNN-SVM [[39]]
|
iLoc-Virus [[33]]
|
mGOASVM
|
---|
1
|
Viral capsid
|
8/8 = 100.0%
|
8/8 = 100.0%
|
8/8 = 100.0%
|
8/8 = 100.0%
|
2
|
Host cell membrane
|
19/33 = 57.6%
|
27/33 = 81.8%
|
25/33 = 75.8%
|
32/33 = 97.0%
|
3
|
Host ER
|
13/20 = 65.0%
|
15/20 = 75.0%
|
15/20 = 75.0%
|
17/20 = 85.0%
|
4
|
Host cytoplasm
|
52/87 = 59.8%
|
86/87 = 98.8%
|
64/87 = 73.6%
|
85/87 = 97.7%
|
5
|
Host nucleus
|
51/84 = 60.7%
|
54/84 = 65.1%
|
70/84 = 83.3%
|
82/84 = 97.6%
|
6
|
Secreted
|
9/20 = 45.0%
|
13/20 = 65.0%
|
15/20 = 75.0%
|
20/20 = 100.0%
|
Overall Locative Accuracy
|
152/252 = 60.3%
|
203/252 = 80.7%
|
197/252 = 78.2%
|
244/252 = 96.8%
|
Overall Actual Accuracy
|
–
|
–
|
155/207 =74.8%
|
184/207 = 88.9%
|
(b) Performance on the plant protein dataset
|
Label
|
Subcellular location
|
LOOCV locative accuracy
| |
| |
Plant-mPLoc [[41]]
|
iLoc-Plant [[42]]
|
mGOASVM
| |
1
|
Cell membrane
|
24/56 = 42.9%
|
39/56 = 69.6%
|
53/56 = 94.6%
| |
2
|
Cell wall
|
8/32 = 25.0%
|
19/32 = 59.4%
|
27/32 = 84.4%
| |
3
|
Chloroplast
|
248/286 = 86.7%
|
252/286 = 88.1%
|
272/286 = 95.1%
| |
4
|
Cytoplasm
|
72/182 = 39.6%
|
114/182 = 62.6%
|
174/182 = 95.6%
| |
5
|
Endoplasmic reticulum
|
17/42 = 40.5%
|
21/42 = 50.0%
|
38/42 = 90.5%
| |
6
|
Extracellular
|
3/22 = 13.6%
|
2/22 = 9.1%
|
22/22 = 100.0%
| |
7
|
Golgi apparatus
|
6/21 = 28.6%
|
16/21 = 76.2%
|
19/21 = 90.5%
| |
8
|
Mitochondrion
|
114/150 = 76.0%
|
112/150 = 74.7%
|
150/150 = 100.0%
| |
9
|
Nucleus
|
136/152 = 89.5%
|
140/152 = 92.1%
|
151/152 = 99.3%
| |
10
|
Peroxisome
|
14/21 = 66.7%
|
6/21 = 28.6%
|
21/21 = 100.0%
| |
11
|
Plastid
|
4/39 = 10.3%
|
7/39 = 17.9%
|
39/39 = 100.0%
| |
12
|
Vacuole
|
26/52 = 50.0%
|
28/52 = 53.8%
|
49/52 = 94.2%
| |
Overall Locative Accuracy
|
672/1055 = 63.7%
|
756/1055 = 71.7%
|
1015/1055 =96.2%
| |
Overall Actual Accuracy
|
–
|
666/978 = 68.1%
|
855/978 = 87.4%
| |
- “–” means the corresponding references do not provide the overall actual accuracy. KNN-SVM: the KNN-SVM ensemble classifier proposed in[39]. Host ER: Host endoplasmic reticulum.