From: Sequence-based bacterial small RNAs prediction using ensemble learning strategies
Feature group | Index | Feature | Dimension | Parameter |
---|---|---|---|---|
Spectrum profile | F1 | 1-spectrum profile | 4 | No parameter |
F2 | 2-spectrum profile | 16 | No parameter | |
F3 | 3-spectrum profile | 64 | No parameter | |
F4 | 4-spectrum profile | 256 | No parameter | |
F5 | 5-spectrum profile | 1024 | No parameter | |
Mismatch profile | F6 | (3, m)-mismatch profile | 64 | m: the max mismatches |
F7 | (4, m)-mismatch profile | 256 | m: the max mismatches | |
F8 | (5, m)-mismatch profile | 1024 | m: the max mismatches | |
Reverse compliment k-mer | F9 | 1-RevcKmer | 2 | No parameter |
F10 | 2-RevcKmer | 10 | No parameter | |
F11 | 3-RevcKmer | 32 | No parameter | |
F12 | 4-RevcKmer | 136 | No parameter | |
F13 | 5-RevcKmer | 512 | No parameter | |
Pseudo nucleotide composition | F14 | PCPseDNC | 16 + λ | λ: the highest counted rank |
F15 | PCPseTNC | 64 + λ | λ: the highest counted rank | |
F16 | SCPseDNC | 16 + 6 × λ | λ: the highest counted rank | |
F17 | SCPseTNC | 64 + 12 × λ | λ: the highest counted rank |