Table 5. Performance comparison of REALoc_GANN and REALoc_Vote.
Detaset | REALoc_Vote | REALoc_GANN |
---|---|---|
Training dataset (5939p) Singleplex |
72.5 (3645/5026) |
75.3 (3782/5026) |
Training dataset (5939p) Multiplex |
74.2 (677/913) |
75.9 (693/913) |
Training dataset (5939p) Overall |
72.8 (4322/5939) |
75.3 (4475/5939) |
Testing dataset (868pt) Singleplex |
63.3 (293/463) |
66.7 (309/463) |
Testing dataset (868pt) Multiplex |
50.1 (203/405) |
36.3 (147/405) |
Testing dataset (868pt) Overall |
57.1 (496/868) |
52.5 (456/868) |
All results are representative as absolute true success rate (%), given by (the number of proteins correctly predicted / the number of total accepted proteins).