Table 2 Details of six types of features
From: Predicting Long non-coding RNAs through feature ensemble learning
| Â | Feature | Dimensionality | Parameter | |
|---|---|---|---|---|
Transcript-specified | ORF length | 1 | No parameter | |
ORF integrity | 1 | No parameter | ||
ORF coverage | 1 | No parameter | ||
Fickett score | 1 | No parameter | ||
Hexamer score | 1 | No parameter | ||
pI | 1 | No parameter | ||
Gravy | 1 | No parameter | ||
Instability index | 1 | No parameter | ||
CTD | 30 | No parameter | ||
General sequence-derived | Spectrum profile | 1-mer | 4 | No parameter |
2-mer | 16 | No parameter | ||
3-mer | 64 | No parameter | ||
4-mer | 256 | No parameter | ||
5-mer | 1024 | No parameter | ||
Mismatch profile | (3, m)-mismatch profile | 64 | m: the maximum mismatch | |
(4, m)-mismatch profile | 256 | m: the maximum mismatch | ||
(5, m)-mismatch profile | 1024 | m: the maximum mismatch | ||
Reverse complement k-mer profile | 1-RevcKmer | 2 | No parameter | |
2-RevcKmer | 10 | No parameter | ||
3-RevcKmer | 32 | No parameter | ||
4-RevcKmer | 136 | No parameter | ||
5-RevcKmer | 528 | No parameter | ||
Pseudo nucleotide composition | PC-PseDNC-General | 16 + λ | λ: the highest counted rank | |
PC-PseTNC-General | 64 + λ | λ: the highest counted rank | ||
SC-PseDNC-General | 16 + 6 × λ | λ: the highest counted rank | ||
SC-PseTNC-General | 64 + 12 × λ | λ: the highest counted rank | ||
PseDNC | 16 + λ | λ: the highest counted rank | ||
Auto-cross covariance | DACC | 36 × lag | lag: the distance between residues | |
TACC | 4 × lag | lag: the distance between residues | ||