SPHERE-MS: Hybrid Fragment–Vocabulary Modeling for Accurate and Efficient Tandem Mass Spectra Prediction
- DOI
- 10.1021/acs.analchem.6c01723
- Published
- 2026-10-13
- Container
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.analchem.6c01723,
title = {SPHERE-MS:
Hybrid Fragment–Vocabulary Modeling
for Accurate and Efficient Tandem Mass Spectra Prediction},
author = {Yitong Guan and Doudou Lou and Dong Cheng and Mengyuan Liu and Yuan Zhu and Shuqiang Zhao and Xiangying Zhang},
year = {2026},
journal = {Analytical Chemistry},
doi = {10.1021/acs.analchem.6c01723},
url = {https://doi.org/10.1021/acs.analchem.6c01723}
}RIS
TY - JOUR TI - SPHERE-MS: Hybrid Fragment–Vocabulary Modeling for Accurate and Efficient Tandem Mass Spectra Prediction AU - Yitong Guan AU - Doudou Lou AU - Dong Cheng AU - Mengyuan Liu AU - Yuan Zhu AU - Shuqiang Zhao AU - Xiangying Zhang PY - 2026 JO - Analytical Chemistry DO - 10.1021/acs.analchem.6c01723 UR - https://doi.org/10.1021/acs.analchem.6c01723 ER -
APA
Guan, Y., Lou, D., Cheng, D., Liu, M., Zhu, Y., Zhao, S., & Zhang, X. (2026). SPHERE-MS: Hybrid Fragment–Vocabulary Modeling for Accurate and Efficient Tandem Mass Spectra Prediction. Analytical Chemistry. https://doi.org/10.1021/acs.analchem.6c01723
Source records
- crossref · retrieved 2026-11-10T13:27:59.796Z