MVP predicts the pathogenicity of missense variants by deep learning
- DOI
- 10.1038/s41467-020-20847-0
- Published
- 2021-01-21
- Container
- Nature Communications
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-020-20847-0,
title = {MVP predicts the pathogenicity of missense variants by deep learning},
author = {Hongjian Qi and Haicang Zhang and Yige Zhao and Chen Chen and John J. Long and Wendy K. Chung and Yongtao Guan and Yufeng Shen},
year = {2021},
journal = {Nature Communications},
doi = {10.1038/s41467-020-20847-0},
url = {https://doi.org/10.1038/s41467-020-20847-0}
}RIS
TY - JOUR TI - MVP predicts the pathogenicity of missense variants by deep learning AU - Hongjian Qi AU - Haicang Zhang AU - Yige Zhao AU - Chen Chen AU - John J. Long AU - Wendy K. Chung AU - Yongtao Guan AU - Yufeng Shen PY - 2021 JO - Nature Communications DO - 10.1038/s41467-020-20847-0 UR - https://doi.org/10.1038/s41467-020-20847-0 ER -
APA
Qi, H., Zhang, H., Zhao, Y., Chen, C., Long, J. J., Chung, W. K., Guan, Y., & Shen, Y. (2021). MVP predicts the pathogenicity of missense variants by deep learning. Nature Communications. https://doi.org/10.1038/s41467-020-20847-0
Source records
- crossref · retrieved 2026-09-26T02:29:08.746Z