Table 4 Classification results on the test sets. Accuracy, specificity and sensitivity are defined in Methods. See [25] for a description of the ROC area.

Blended spectrum kernel

CCR5

0.04

3

204

96.63%

85.33%

98.75%

98.68%

CXCR4

0.7

9

392

93.68%

96.00%

87.68%

96.59%

CCR5 and CXCR4

2

15

430

94.38%

98.16%

67.05%

90.16%

Local alignment kernel

CCR5

9

1

200

96.42%

87.55%

98.08%

98.12%

CXCR4

0.02

0.05

321

92.21%

97.56%

78.39%

95.11%

CCR5 and CXCR4

0.5

0.1

399

92.28%

97.20%

56.64%

87.49%

Distant segments kernel

CCR5

0.4

30

533

96.35%

83.55%

98.75%

98.95%

CXCR4

0.0001

30

577

94.80%

97.56%

87.68%

96.25%

CCR5 and CXCR4

0.2

35

698

95.15%

99.20%

65.89%

90.97%

Perfect deterministic classifier

CCR5

-

-

-

99.15%

99.55%

99.08%

-

CXCR4

-

-

-

98.66%

99.70%

95.97%

-

CCR5 and CXCR4

-

-

-

97.96%

99.68%

85.54%

-

Distant segments kernel trained on test set

CCR5

0.3

40

425

98.45%

92.88%

99.5%

99.17%

CXCR4

0.0001

35

611

98.66%

99.70%

95.97%

98.29%

CCR5 and CXCR4

0.0001

40

618

97.96%

99.68%

85.54%

96.27%