Skip to main content

Table 4 Comparision of the performance results with different webserver tools

From: A deep learning method to more accurately recall known lysine acetylation sites

Prediction method Algorithms Accuracy Specificity Sensitivity AUC MCC
DeepAcet DL 84.87% 83.46% 86.28% 0.8407 0.6977
PAIL BDM 51.16% 54.30% 48.04% 0.0233
PSKAcePred
LAceP
N-Ace
BRABSB-PHKA
SVM
LR
SVM
SVM
61.01%
---
---
---
50.52%
---
---
---
71.51%
---
---
---
---
---
---
---
0.2250
---
---
---