Table 1.
Properties of feature sets (descriptors) were used in this research.
| Feature Extraction Algorithm | Feature Set (Descriptor) | Dimensions (Amounts of Attributes) |
|---|---|---|
| Amino acid composition | AAC: Amino acid composition | 20 |
| CKSAAP: Composition of k-spaced amino acid pairs | 2400 | |
| DPC: Dipeptide composition | 400 | |
| DDE: Dipeptide deviation from expected mean | 400 | |
| C/T/D | CTDC: C/T/D Composition | 39 |
| CTDD: C/T/D Distribution | 195 | |
| CTDT: C/T/D Transition | 39 | |
| Conjoint triad | CTriad: Conjoint triad | 343 |
| Autocorrelation | Geary: Geary | 240 |
| Moran: Moran | 240 | |
| NMBroto: Normalized Moreau-Broto | 240 | |
| Pseudo-amino acid composition | PAAC: Pseudo-amino acid composition | 50 |
| APAAC: Amphiphilic Pseudo-amino acid composition | 80 | |
| Grouped amino acid composition |
CKSAAGP: Composition of k-spaced amino acid group pairs | 150 |
| GAAC: Grouped amino acid composition | 5 | |
| GDPC: Grouped dipeptide composition | 25 | |
| Quasi-sequence-order | QSOrder: Quasi-sequence-order descriptors | 100 |