From: Encodings and models for antimicrobial peptide classification for multi-resistant pathogens
Encoding | Description | Summary | Used in | Used along with |
---|---|---|---|---|
Spectrum Kernel | generates all possible subsequences of length k and counts the occurrences of these k-mers | Density: - Information: - | [112] | Â |
Mismatch Kernel | considers a certain distance, hence mismatches, between two k-mers | Density: - Information: o | General Structure | |
Distant Segment Kernel | allows a gap between two k-mers | Density: - Information: o | [118] | Â |
Local Alignment Kernel | obtained from local alignment scores | Density: + Information: o | [119] | Spectrum Kernel, Mismatch Subsequence Kernel |
Subsequence Kernel | measures sequence similarity, gaps within k-mers are taken into account | Density: + Information: o | [119] | Frequency of Amino Acid Pairs |
Frequency of Amino Acid Pairs | similar to dipeptide composition | Density: - Information: o | [119] | Â |
String Kernels + Physicochemical Properties | optimization of existing string kernels such that these involve physicochemical properties | Density: + Information: + | [120] | Physicochemical Properties |
Generic String Kernel | string kernel with physicochemical properties and penalization of non adjacent segments | Density: + Information: + | Â |