Prediction of S-Nitrosylation Modification Sites Based on Kernel Sparse Representation Classification and mRMR Algorithm

Algorithm 3

KSRC algorithm.

Input: the training set with distinct classes , the testing sample , and kernel function

Output: the category of the test sample

(1) compute the matrix and the test sample such that by using (12)

(2) normalize columns of the matrix with the norm

(3) solve (13) using the OMP in Algorithm 1, and obtain the coefficient vector

(4) compute

(5) assign the testing sample to the class