Insights into serum metabolic biomarkers for early detection of incident diabetic kidney disease in patients with type 2 diabetes by random forest
| Title | Insights into serum metabolic biomarkers for early detection of incident diabetic kidney disease in patients with type 2 diabetes by random forest |
|---|---|
| Description | Serum untargeted metabolome analysis of diabetic kidney diseases |
| Organism | Homo sapiens |
| Data Type | Metabolome Data by Mass Spectrometry (MS) |
| Data Accessibility | Open-access |
| BioProject | PRJCA013833 |
| Release Date | 2022-12-13 |
| Submitter | Jianjun Jiang (jianjunjiang@outlook.com) |
| Organization | Shenzhen Traditional Chinese Medicine Hospital |
| Submission Date | 2022-12-12 |
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| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download Times | Download |
|---|---|---|---|---|---|---|---|
| OMIX002578-01 | Discovery_set_raw_data.1 | 1 | Metabolome Data by Mass Spectrometry (MS) | 12.2 MB | xlsx | 0 | |
| OMIX002578-02 | Discovery_set_raw_data.2 | 1 | Metabolome Data by Mass Spectrometry (MS) | 8.2 MB | xlsx | 0 | |
| OMIX002578-03 | Validation_set_raw_data.1 | 1 | Metabolome Data by Mass Spectrometry (MS) | 15.4 MB | xlsx | 0 | |
| OMIX002578-04 | Validation_set_raw_data.2 | 1 | Metabolome Data by Mass Spectrometry (MS) | 33.3 MB | xlsx | 0 | |
| OMIX002578-05 | combined_data | 1 | Metabolome Data by Mass Spectrometry (MS) | 244.8 KB | xlsx | 0 |