Mspcd: predicting circrna-disease associations via integrating multi-source data and hierarchical neural network

HIGHLIGHTS

• who: Lei Deng from the School of Computer University, Hunan, China have published the article: MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network, in the Journal: (JOURNAL)
• what: The authors propose an efficient framework called MSPCD to infer unknown circRNA-disease associations. The authors develop a method called MSPCD, which calculates circRNA similarity and disease similarity more accurately by integrating more biological information such as circRNA-disease associations, circRNA-gene ontology (GO) associations. The authors compare MSPCD with several state-of-the-art computational frameworks on the circFunBase dataset . . .
  

   

  

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