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

---

---

---