A benchmarking dataset for peak detection methods in untargeted metabolomics using LC/HRMS
| Main Author: | Sadjad Fakouri Baygi |
|---|---|
| Other Authors: | Dinesh Kumar Barupal |
| Format: | info dataset Journal |
| Terbitan: |
, 2022
|
| Online Access: |
https://zenodo.org/record/6302236 |
Daftar Isi:
- Randomly selected 20,000 mz and rt pairs were manually evaluated for true positive and true negative signals in a single LC/HRMS data file (003.mzML) from the study MTBLS1684. The data file was processed using four peak detection methods - IDSL.IPA, XCMS, MZMINE and MSDIAL.