| Title | Metabolomic in Stage II/III Colorectal Cancer |
|---|---|
| Description | Machine learning-based identification of a metabolic gene prognostic signature revealing the clinical and molecular heterogeneity of stage II/III colorectal cancer |
| Organism | Homo sapiens |
| Data Type | Metabolome Data by Mass Spectrometry (MS) |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA023764 |
| Release Date | 2024-12-31 |
| Submitter | Wei Chong (chongwei@sdfmu.edu.cn) |
| Organization | Shandong Provincial Hospital |
| Submission Date | 2024-03-04 |
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 |
|---|---|---|---|---|---|---|
| OMIX005924-01 | Metabolomic in Stage II/III Colorectal Cancer | 146 | Metabolome Data by Mass Spectrometry (MS) | 12.43 GB | zip | Controlled |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| MALMPS: A Machine Learning-Based Metabolic Gene Prognostic Signature for Stratifying Clinical Outcomes and Molecular Heterogeneity in Stage II/III Colorectal Cancer | Advanced Science | 2025-07 | OMIX005924 | Deposit |