MiRNA-Disease association prediction via non-negative matrix factorization based matrix completion

•We propose a new matrix completion model for miRNA-disease association prediction.•We decompose the association matrix into a known part and an unknown part.•Disease similarity and miRNA similarity are well embedded into the proposed model.•Non-negative matrix factorization model is used to assist the prediction process.