BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction | Zendy

Xing Chen | Zendy; Di Xie | Zendy; Lei Wang | Zendy; Qi Zhao | Zendy; ZhuHong You | Zendy; Hongsheng Liu | Zendy

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BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction

Author(s) -

Xing Chen,

Di Xie,

Lei Wang,

Qi Zhao,

ZhuHong You,

Hongsheng Liu

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty333

Subject(s) - bipartite graph , receiver operating characteristic , similarity (geometry) , computer science , cross validation , cluster analysis , disease , association (psychology) , data mining , artificial intelligence , machine learning , medicine , graph , theoretical computer science , philosophy , epistemology , pathology , image (mathematics)

A large number of resources have been devoted to exploring the associations between microRNAs (miRNAs) and diseases in the recent years. However, the experimental methods are expensive and time-consuming. Therefore, the computational methods to predict potential miRNA-disease associations have been paid increasing attention.

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