| Accession |
PRJCA001203 |
| Title |
Non-invasive detection and localization of genitourinary cancers through the analysis of DNA methylation and Copy number variation |
| Relevance |
Medical |
| Data types |
Epigenomics
Map
Raw sequence reads
|
| Organisms |
Homo sapiens
|
| Description |
There still don't exist good non-invasive method to detect and localize of Genitourinary cancers, such as Prostate cancer, Bladder cancer and Kidney cancer. In this project, we try to build binary classifier and multi-class classifier by using DNA methylation and copy number variation information of urine sediment of genitourinary cancers. Finally, we try to apply the classifiers to do early detection of Genitourinary cancers. |
| Sample scope |
Multiisolate |
| Release date |
2021-01-24 |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| Chinese Academy of Sciences (CAS)
|
|
XDA16010102
|
|
| National Natural Science Foundation of China (NSFC)
|
|
81422035
|
|
| National Natural Science Foundation of China (NSFC)
|
|
81672541
|
|
| National Key R&D Program of China
|
|
2016YFC0900303
|
|
|
|
| Submitter |
Weimin
Ci (ciwm@big.ac.cn)
|
| Organization |
Beijing Institute of Genomics, Chinese Academy of Sciences |
| Submission date |
2019-01-12 |
