| Title | Machine learning to serum metabolic fingerprints for tuberculosis and drug-resistant tuberculosis diagnosis |
|---|---|
| Description | This study will provide novel insights for efficient metabolic tools for infectious disease screening and drug resistance tests |
| Organism | Homo sapiens |
| Data Type | Metabolome Data by Mass Spectrometry (MS) |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA014108 |
| Release Date | 2024-12-31 |
| Submitter | yajing Liu (liuyajing@zju.edu.cn) |
| Organization | The Second Affiliated Hospital, Zhejiang University School of Medicine |
| Submission Date | 2022-12-29 |
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 |
|---|---|---|---|---|---|---|
| OMIX002695-01 | data 228 | 228 | Metabolome Data by Mass Spectrometry (MS) | 3.3 MB | csv | Controlled |
| OMIX002695-02 | data 58 | 58 | Metabolome Data by Mass Spectrometry (MS) | 865.7 KB | csv | Controlled |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|