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Table 2 Results on benchmark dataset of different PSSM based encoding schemes through jackknife validation.

From: Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation

Methods

Acc(%)

MCC

SN(%)

SP(%)

AUC(%)

AvePscore-20a

73.95

0.480

68.57

79.09

81.40

AvePscore-400d

73.58

0.470

66.47

80.36

81.50

Pscore-100c

73.12

0.463

72.76

73.45

80.50

ACCd

73.77

0.475

73.14

74.36

81.90

PSSM-DTf

79.96

0.622

81.91

78.00

86.50

  1. The four protein representation methods in the front of the table are four protein encoding methods for identification of DNA-binding proteins proposed in the past. The four methods and the current method PSSM-DT are based on PSSMs property of protein sequences, but the encoding method applied by them are different. The results were got by testing on benchmark dataset through jackknife validation.
  2. aresults obtained by in-house implementation of AvePscore-20 [21]
  3. bresults obtained by in-house implementation of AvePscore-400 [21]
  4. cresults obtained by in-house implementation of Pscore-100 [75]
  5. dresults obtained by in-house implementation of ACC [76]
  6. fresults obtained by using PSSM-DT as protein representation