Research Article

RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest

Table 7

Scoring metrics using an independent test dataset.

MethodsResidue = S
Sen (%)Sp (%)MCC

NetPhosK80.1338.790.10
GPS 2.194.7928.620.14
NetPhos76.5554.200.16
PHOSFER74.5965.510.22
Musite55.7087.390.31
PhosphoSVM63.8481.760.29
RF-Phos72.0070.000.41

MethodsResidue = T
Sen (%)Sp (%)MCC

NetPhosK69.1250.820.06
GPS 2.195.5920.840.07
NetPhos54.4177.430.12
PHOSFER77.9464.770.14
Musite48.5393.550.26
PhosphoSVM70.5978.160.19
RF-Phos79.0080.000.50

MethodsResidue = Y
Sen (%)Sp (%)MCC

NetPhosK25.4983.230.04
GPS 2.198.0421.420.09
NetPhos64.7167.500.13
PHOSFER62.7559.290.08
Musite47.0688.770.20
PhosphoSVM82.3564.180.18
RF-Phos61.0062.000.29