A Novel Triple Matrix Factorization Method for Detecting Drug-Side Effect Association Based on Kernel Target Alignment

Algorithm 1

Algorithm of our method.

Require: A training matrix (known associations), the fingerprint vector for the drug; Two parameters: the and for TMF;

Ensure: The prediction of ;

 1: Constructing the drug and side effect kernels, which are listed in Table 1;

 2: Utilizing Equation (7) (KTA-MKL) to obtain the weights and for drug and side effect, respectively;

 3: Building and via Equation (5), respectively;

 4: Calculating and by Singular Value Decomposition (SVD);

 5: Solving Equation (14) (TMF) to estimate ;

 6: Calculating ;