| Accession |
PRJCA028632 |
| Title |
The exploration of hepatocellular carcinoma microenvironment omics data and its diagnostic value using neural network algorithms |
| Relevance |
Medical |
| Data types |
statistic results
|
| Organisms |
Homo sapiens
|
| Description |
We present a graph neural network-based framework tailored for molecular diagnosis of primary liver tumors using scRNA-seq data. Our approach capitalizes on the biological plausibility inherent in the intercellular communication networks within tumor samples. |
| Sample scope |
Multiisolate |
| Release date |
2024-07-29 |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| National Natural Science Foundation of China (NSFC)
|
|
82273234
|
|
|
|
| Submitter |
Guoming
Shi (shi.guoming@zs-hospital.sh.cn)
|
| Organization |
Zhongshan Hospitall |
| Submission date |
2024-07-29 |
