Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS
- DOI
- 10.1038/s41587-025-02663-3
- Published
- 2025-05-23
- Container
- Nature Biotechnology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41587-025-02663-3,
title = {Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS},
author = {Roman Bushuiev and Anton Bushuiev and Raman Samusevich and Corinna Brungs and Josef Sivic and Tomáš Pluskal},
year = {2025},
journal = {Nature Biotechnology},
doi = {10.1038/s41587-025-02663-3},
url = {https://doi.org/10.1038/s41587-025-02663-3}
}RIS
TY - JOUR TI - Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS AU - Roman Bushuiev AU - Anton Bushuiev AU - Raman Samusevich AU - Corinna Brungs AU - Josef Sivic AU - Tomáš Pluskal PY - 2025 JO - Nature Biotechnology DO - 10.1038/s41587-025-02663-3 UR - https://doi.org/10.1038/s41587-025-02663-3 ER -
APA
Bushuiev, R., Bushuiev, A., Samusevich, R., Brungs, C., Sivic, J., & Pluskal, T. (2025). Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS. Nature Biotechnology. https://doi.org/10.1038/s41587-025-02663-3
Source records
- crossref · retrieved 2026-11-11T00:08:44.218Z