Article
MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA-disease association prediction.
Journal of translational medicine - 12 Dec 2017
Chen Xing, Niu Ya-Wei, Wang Guang-Hui, Yan Gui-Ying
Abstract excerpt
BACKGROUND: Recently, as the research of microRNA (miRNA) continues, there are plenty of experimental evidences indicating that miRNA could be associated with various human complex diseases development and progression. Hence, it is necessary and urgent to pay more attentions to the relevant study of predicting diseases associated miRNAs, which may be helpful for effective prevention, diagnosis and treatment of...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
