Insights into serum metabolic biomarkers for early detection of incident diabetic kidney disease in patients with type 2 diabetes by random forest _follow_up
| Title | Insights into serum metabolic biomarkers for early detection of incident diabetic kidney disease in patients with type 2 diabetes by random forest _follow_up |
|---|---|
| Description | To identify early biomarkers for diabetic kidney diseases |
| Organism | Homo sapiens |
| Data Type | Metabolome Data by Mass Spectrometry (MS) |
| Data Accessibility | Open-access |
| BioProject | PRJCA013833 |
| Release Date | 2022-12-15 |
| Submitter | Jianjun Jiang (jianjunjiang@outlook.com) |
| Organization | Shenzhen Traditional Chinese Medicine Hospital |
| Submission Date | 2022-12-14 |
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 |
|---|---|---|---|---|---|---|---|
| OMIX002604-01 | Follow_up_data | 1 | Metabolome Data by Mass Spectrometry (MS) | 36.7 KB | xlsx | 0 |