Machine Learning Predicts Survival and Mutations in Ovarian Metastases of Colorectal Cancer
| Title | Machine Learning Predicts Survival and Mutations in Ovarian Metastases of Colorectal Cancer |
|---|---|
| Description | The study aimed to develop and validate models to predict survival outcome and key mutations in patients with ovarian metastases of colorectal cancer, as well as to compare the differential gene expression between long-survival group and short-survival group. |
| Organism | Homo sapiens |
| Data Type | Expression Profiling by NGS |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA030721 |
| Release Date | 2024-11-21 |
| Submitter | Hui Wang (wang89@mail.sysu.edu.cn) |
| Organization | The Sixth Affiliated Hospital, Sun Yat-sen University |
| Submission Date | 2024-09-29 |
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 |
|---|---|---|---|---|---|---|---|
| OMIX007548-01 | OM_long_survival vs. OM_short_survival | 8 | Expression Profiling by NGS | 1.2 MB | csv | 0 | Controlled |
| OMIX007548-02 | paired ovarian and peritoneal metastasis samples | 12 | Expression Profiling by NGS | 1.6 MB | csv | 0 | Controlled |