The computational prediction of drugdisease interactions using the dual-network L2,1-CMF method

Predicting drug-disease interactions (DDIs) is time-consuming and expensive. Improving the accuracy of prediction results is necessary, and it is crucial to develop a novel computing technology to predict new DDIs.