TY  - RPRT
TI  - E2EGraph: An End-to-end Graph Learning Model for Interpretable Prediction of Pathlogical Stages in Prostate Cancer
AU  - Zhan, W.
AU  - Song, C.
AU  - Das, S.
AU  - Rebbeck, T. R.
AU  - Shi, X.
PY  - 2023
DO  - 10.1101/2023.03.09.531924
UR  - https://www.biorxiv.org/content/10.1101/2023.03.09.531924v1
ID  - 10.1101/2023.03.09.531924
ER  -