Research Article

An Empirical Study of Different Approaches for Protein Classification

Table 3

Comparison among the different feature extractors in terms of the statistical rank on the different datasets. The 2 best descriptors for each representation are in boldface.

DescriptorsRank
Protein representationDescriptor

AASAS23.42
2G27.25
QRC 21.54
AC 11.52
P2G 39.78
AA 21.36
GE30.24
NG27.85
SAC23.45
DW 29.48

PSSMAB15.25
SAN7.25
SA13.20
AM20.50
PP5.02
SVD39.56
DCT28.56
LHF_G24.10
LPQ_G14.87
LHF_L31.81
LPQ_L26.72
BGR12.44
TGR15.68

SMRAB28.78
SAN24.80
SA24.82
AM40.52
PP12.50
SVD29.20
DCT32.45
LHF_G17.02
LPQ_G17.22
LHF_L26.24
LPQ_L31.24
BGR19.86
TGR23.24

PR (ensemble of 25 PR )SVD38.25
DCT37.85
LHF_G41.25
LPQ_G38.38
LHF_L44.02
LPQ_L38.48

WAVE (ensemble of 25 WAVE )SVD40.25
DCT47.00
LHF_G38.95
LPQ_G34.01
LHF_L41.10
LPQ_L40.20