TGSA: protein-protein association-based twin graph neural networks for drug response prediction with similarity augmentation.

Journal: Bioinformatics (Oxford, England)
Published Date: Jan 3, 2022

Abstract

MOTIVATION: Drug response prediction (DRP) plays an important role in precision medicine (e.g. for cancer analysis and treatment). Recent advances in deep learning algorithms make it possible to predict drug responses accurately based on genetic profiles. However, existing methods ignore the potential relationships among genes. In addition, similarity among cell lines/drugs was rarely considered explicitly.

Authors

  • Yiheng Zhu
    College of Computer Science and Technology, Zhejiang University, Hangzhou 310000, China.
  • Zhenqiu Ouyang
    Polytechnic Institute, Zhejiang University, Hangzhou 310000, China.
  • Wenbo Chen
    Polytechnic Institute, Zhejiang University, Hangzhou 310000, China.
  • Ruiwei Feng
  • Danny Z Chen
    Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556.
  • Ji Cao
    College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310000, China.
  • Jian Wu
    Department of Medical Technology, Jiangxi Medical College, Shangrao, Jiangxi, China.

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