Deep learning and multi-omics approach to predict drug responses in cancer

HIGHLIGHTS

• who: Conghao Wang from the School of Computer Science Technological University have published the research: Deep learning and multi-omics approach to predict drug responses in cancer, in the Journal: (JOURNAL)
• what: The authors propose a novel deep neural network model that integrates multi-omics data available as gene expressions copy number variations gene mutations reverse phase protein array expressions and metabolomics expressions to predict cellular responses to known anti-cancer drugs. The authors propose a novel attention layer that effectively combines different omics features taking their interactions into account. The outstanding results of the . . .
  

   

  

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