Drug response prediction using graph representation learning and laplacian feature selection

HIGHLIGHTS

• who: Minzhu Xie from the College of Information Science University, Changsha, China have published the paper: Drug response prediction using graph representation learning and Laplacian feature selection, in the Journal: (JOURNAL)
• what: The authors propose a method called LGRDRP (Learning Graph Representation for Drug Response Prediction) to predict cell line-drug responses.
• how: The authors conducted a series of 5-fold cross-validation experiments to test the performance of LGRDRP and some other state-of-the-art drug response prediction methods. The heterogeneous network of the train data was obtained by removing the . . .
  

   

  

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