DHRLS is one novel computational method, which utilizes Multiple kernels learning and Hypergraph Regularized Least Squares to predict the association between diseases and genes. 1.Code.

1)cka_kernels_weights.p: function implementing CKA algorithm;

2)construct_Hypergraphs_knn_weight.p: function implementing Hypergraph Laplacian matrix;

3)DHRLS.p: predict the association between diseases and genes

4)fold_10.m:function implementing ten fold cross validation

2.Dataset.

1)disease_name and gene_name: store disease name and gene name, respectively;

2)gene_disease_Y.mat:store the matrix of association between diseases and genes

Due to file upload restrictions, click DATA to get all data

3.Predicting_novel_interactions.

This folder contains the DHRLS model's Top50 prediction results for 960 diseases, including the gene name prediction score and whether it has been verified