Drug-target Interaction Network Inference Engine
based on Supervised Analysis

details

Project name : supplemental

Kernel matrix : drug.1    Dsimmat_chemical.txt
drug.2    Dprofile_sideeffect.txt, Linear kernel
target.1    Tsimmat_sequence.txt
target.2    Tprofile_domain.txt, Linear kernel

Weight : drug    1 : 1
target    1 : 1

Method : Supervised approach
Algorithm type: pairwise kernel regression
number of components: 100
regularization parameter for drugs: 0.1
regularization parameter for targets: 0.1

Threshold : score >= 0.5