The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method.

Cross validation is used to evaluate our method, and simulation experiments are used to predict new interactions using two different datasets. Finally, our prediction accuracy is better than other existing methods. This proves that our method is feasible and effective.