Papers

  1. Mining signaling flow to interpret mechanisms of synergy of drug combinations using graph neural network
    March 2021, bioRxiv preprint

  2. Predicting anti-cancer drug response with deep learning constrained by signaling pathways
    March 2021, Accepted to Frontier in Bioinformatics

  3. Investigate the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model
    October 2020, Accepted to BMC Bioinformatics

  4. Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model
    July 2020, Accepcted to AMIA 2020 Annual Symposium as Oral Presentaion

Projects

Recent Major

Studying Deep Signaling Flow with Graph Convolution Network

Mining deeper mechanisms of drug synergy by using graph neural network

Predict Synergistic Drugs Effect with a Novel Deep Learning Model

A novel deep learning model to predict drugs combination effect and ananlyse critical signaling pathways

MISC

  • Badminton and Table Tenis
  • Travelling (Have been to US; Canada; Japan)
  • Pop Music(Taylor Swift's Fan)

Contact