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 | 2022-06-13T07:58:23Z | |
| dc.date.available | 2022-06-13T07:58:23Z | |
| dc.date.issued | 2022-06 | |
| dc.date.updated | 2022-06-13T07:58:23Z | |
| dc.identifier.issue | 2021/2022/2 | |
| dc.identifier.uri | http://hdl.handle.net/2437/335131 | |
| dc.identifier.volume | 2021/2022/2 | |
| 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 |