Histological Grade of Endometrioid Endometrial Cancer and Relapse Risk Can Be Predicted With Machine Learning From Gene Expression Data
dc.contributor.author | Gargya Péter | |
dc.date.accessioned | 2021-06-21T08:46:12Z | |
dc.date.available | 2021-06-21T08:46:12Z | |
dc.date.issued | 2021-06 | |
dc.date.updated | 2021-06-21T08:46:12Z | |
dc.identifier.issue | 2020/2021/2 | |
dc.identifier.uri | http://hdl.handle.net/2437/311484 | |
dc.identifier.volume | 2020/2021/2 | |
dc.publisher | DETEP | |
dc.rights.holder | Gargya Péter | |
dc.title | Histological Grade of Endometrioid Endometrial Cancer and Relapse Risk Can Be Predicted With Machine Learning From Gene Expression Data |