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Comparison of predictive performance of SVM based on different encoding input information. More details for prediction accuracy measurement are given in the Methods section. The results were obtained by 5-fold cross-validation. |
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| Methods |
Prediction accuracy (%) |
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|
|
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| Q2 |
MCC |
Sensitivity |
Specificity |
|
|
|
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| LSa |
62.8 |
0.26 |
56.6 |
68.7 |
| AAb |
61.6 |
0.23 |
59.8 |
63.2 |
| MSc |
69.8 |
0.40 |
70.5 |
68.7 |
| SSd |
63.6 |
0.27 |
57.8 |
69.3 |
| MS+SSe |
71.5 |
0.43 |
70.7 |
72.2 |
|
aLS: prediction performance for the local sequence encoding scheme; bAA: prediction performance for the amino acid composition encoding scheme of local sequence; cMS: prediction performance for the multiple sequence alignment encoding scheme in the form of PSI-BLAST profile; dSS: prediction performance for the predicted secondary structure encoding scheme by PSIPRED; eMS+SS: prediction performance for the multiple sequence alignment plus secondary structure encoding scheme. | ||||
Song et al. BMC Bioinformatics 2006 7:124 doi:10.1186/1471-2105-7-124 |
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