Table 2 Network entities and respective kernels considered for combination purposes
From: A multiple kernel learning algorithm for drug-target interaction prediction
Entity | Kernels | Information |
|---|---|---|
source | ||
Drugs | AERS-bit - AERS bit | Side-effects |
AERS-freq - AERS freq | Side-effects | |
GIP - Gaussian Interaction Profile | Network | |
LAMBDA - Lambda-k Kernel | Chem. Struct. | |
MARG - Marginalized Kernel | Chem. Struct. | |
MINMAX - MinMax Kernel | Chem. Struct. | |
SIMCOMP - Graph kernel | Chem. Struct. | |
SIDER - Side-effects Similarity | Side-effects | |
SPEC - Spectrum Kernel | Chem. Struct. | |
TAN - Tanimoto Kernel | Chem. Struct. | |
Proteins | GIP - Gaussian Interaction Profile | Network |
GO - Gene Ontology Semantic Similarity | Func. Annot. | |
MIS-k3m1 - Mismatch kernel (k=3,m=1) | Sequences | |
MIS-k4m1 - Mismatch kernel (k=4,m=1) | Sequences | |
MIS-k3m2 - Mismatch kernel (k=3,m=2) | Sequences | |
MIS-k4m2 - Mismatch kernel (k=3,m=2) | Sequences | |
PPI - Proximity in protein-protein network | Protein-protein Interactions | |
SPEC-k3 - Spectrum kernel (k=3) | Sequences | |
SPEC-k4 - Spectrum kernel (k=4) | Sequences | |
SW - Smith-Waterman aligment score | Sequences |