Predicting mirna-disease associations based on graph attention network with multi-source information

HIGHLIGHTS

• who: Guanghui Li from the School of Information University, Nanchang, China have published the research: Predicting miRNA-disease associations based on graph attention network with multi-source information, in the Journal: (JOURNAL)
• what: For instance, the first study for discovering the association between miRNA and cancer was published by Calin et_al , and the study showed that miR-15 has a significant inhibitory level relationship with chronic lymphocytic leukemia. To solve the above problems, the authors propose a new computational model GATMDA, which effectively combines linear features and non-linear features based on multi-source data . . .
  

   

  

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