The exploration of hepatocellular carcinoma microenvironment omics data and its diagnostic value using neural network algorithms
| Title | The exploration of hepatocellular carcinoma microenvironment omics data and its diagnostic value using neural network algorithms |
|---|---|
| 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. |
| Organism | Homo sapiens |
| Data Type | Other Type of Genomic Data |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA028632 |
| Release Date | 2024-07-31 |
| Submitter | Guoming Shi (shi.guoming@zs-hospital.sh.cn) |
| Organization | Zhongshan Hospital, Fudan University |
| Submission Date | 2024-07-29 |
HTTP download speed may be slow. It is highly recommended that you download the dataset using a dedicated FTP tool (such as FileZilla Client).
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download Times | Download |
|---|---|---|---|---|---|---|---|
| OMIX007012-01 | statistic data to recreate figures | 41 | Other Type of Genomic Data | 282.5 KB | zip | 0 | Controlled |