Syndeep: a deep learning approach for the prediction of cancer drugs synergy

HIGHLIGHTS

• who: Anna Torkamannia from the DepartmentTabriz University have published the research work: SYNDEEP: a deep learning approach for the prediction of cancer drugs synergy, in the Journal: Scientific Reports Scientific Reports
• what: This study proposes SYNDEEP for the prediction of synergy in drugs combination. In the experiment, the authors compared SYNDEEP, SNN, KNN, SVM, RF, and GBC methods that SYNDEEP achieved superior performance. In this study, the deep neural_network model is implemented in python language using Python 3.7 version.
• how: Among the models examined the RF achieved poor accuracy (74.85%). The . . .
  

   

  

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