| Accession |
PRJCA019248 |
| Title |
A DNN model to predict the sensitivity of NCRT in LARC |
| Relevance |
Medical |
| Data types |
Transcriptome or Gene expression
|
| Organisms |
Homo sapiens
|
| Description |
In the house dataset, we constructed a DNN model based on WNT and LA pathway to predict NCRT response and prognosis in LARC patients. It is verified in multiple data sets. The clinical characteristics and immunity of patients stratified by DNN model were analyzed. |
| Sample scope |
Monoisolate |
| Release date |
2023-08-23 |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| National Natural Science Foundation of China (NSFC)
|
|
81972318
|
|
|
|
| Submitter |
Yuhao
Liu (liuyuhao2009@163.com)
|
| Organization |
Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College |
| Submission date |
2023-08-21 |
