GPDRP: a multimodal framework for drug response prediction with graph transformer.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: In the field of computational personalized medicine, drug response prediction (DRP) is a critical issue. However, existing studies often characterize drugs as strings, a representation that does not align with the natural description of molecules. Additionally, they ignore gene pathway-specific combinatorial implication.

Authors

  • Yingke Yang
    School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, 471000, China.
  • Peiluan Li
    School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, 471000, China. 15038522015@163.com.