Skip to main content

Table 3 Twenty-three sequence-derived features

From: A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs

Index Feature Dimension Parameter Annotation
F1 1-Spectrum Profile 4 No Parameters Used in [20]
F2 2-Spectrum Profile 16 No Parameters Used in [20]
F3 3-Spectrum Profile 64 No Parameters Used in [20]
F4 4-Spectrum Profile 256 No Parameters Used in [20]
F5 5-Spectrum Profile 1024 No Parameters Used in [20]
F6 (3, m)-mismatch profile 64 m: the max mismatches New features
F7 (4, m)-mismatch profile 256 m: the max mismatches New features
F8 (5, m)-mismatch profile 1024 m: the max mismatches New features
F9 (3, w)-subsequence profile 64 w: penalty for the non-contiguous matching New features
F10 (4, w)-subsequence profile 256 w: penalty for the non-contiguous matching New features
F11 (5, w)-subsequence profile 1024 w: penalty for the non-contiguous matching New features
F12 1-RevcKmer 2 No Parameters New features
F13 2-RevcKmer 10 No Parameters New features
F14 3-RevcKmer 32 No Parameters New features
F15 4-RevcKmer 136 No Parameters New features
F16 5-RevcKmer 528 No Parameters New features
F17 PCPseDNC 16 + λ λ: the highest counted rank of the correlation New features
F18 PCPseTNC 64 + λ λ: the highest counted rank of the correlation New features
F19 SCPseDNC 16 + 6 × λ λ: the highest counted rank of the correlation New features
F20 SCPseTNC 64 + 12 × λ λ: the highest counted rank of the correlation New features
F21 Sparse Profile 5 × d d: the fixed length of sequences New features
F22 PSSM d d: the fixed length of sequences New features
F23 LSSTE 32 No parameters Used in [21]