@misc{indiciae6d85bd2281ff,
  title = {E2EGraph: An End-to-end Graph Learning Model for Interpretable Prediction of Pathlogical Stages in Prostate Cancer},
  author = {Zhan, W. and Song, C. and Das, S. and Rebbeck, T. R. and Shi, X.},
  year = {2023},
  doi = {10.1101/2023.03.09.531924},
  url = {https://www.biorxiv.org/content/10.1101/2023.03.09.531924v1},
  note = {Source identifier: 10.1101/2023.03.09.531924}
}