Figure 2.

Flowchart of potential miRNA-disease association prediction based on the computational model of RKNNMDA.¹ Obtaining integrated similarity matrices by combining miRNA functional similarity, disease semantic similarity, and Gaussian interaction profile kernel similarity;² Applying KNN algorithm and searching for k-nearest-neighbors for miRNA and disease;³ Calculating Hamming loss, reranking k-nearest-neighbors by SVM Ranking model, and implementing prediction based on weighted voting.