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Dataset_1: is based on the three associations obtained to find the intersection operation, that is, when a disease exists in both miRNA-disease and lncRNA-disease, it will be included in dataset2, the advantage of this method is that it can improve the density of the overall data, reduce the sparsity of the dataset, and is of great help to the later prediction task.
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Dataset_2: is obtained according to the relationship between the union of the three types of datasets, that is, if a disease has appeared in lncRNA-disease or miRNA-disease, it is included in dataset dataset 1, so as to also process other miRNAs and lncRNA, through this method can significantly expand the amount of data, and finally.
we obtained more than 43869 pairs of associations in the data, including miRNA-disease association is 23581, miRNA-lncRNA is 18250, lncRNA-disease is 2036, total miRNAs 1596, lncRNAs 2188, diseases total 1297.