Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach
- DOI
- 10.1186/s13040-025-00476-3
- Published
- 2025-09-01
- Container
- BioData Mining
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s13040-025-00476-3,
title = {Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach},
author = {Sohyun Youn and Dabin Jeong and Hwijun Kwon and Eonyong Han and Sun Kim and Inuk Jung},
year = {2025},
journal = {BioData Mining},
doi = {10.1186/s13040-025-00476-3},
url = {https://doi.org/10.1186/s13040-025-00476-3}
}RIS
TY - JOUR TI - Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach AU - Sohyun Youn AU - Dabin Jeong AU - Hwijun Kwon AU - Eonyong Han AU - Sun Kim AU - Inuk Jung PY - 2025 JO - BioData Mining DO - 10.1186/s13040-025-00476-3 UR - https://doi.org/10.1186/s13040-025-00476-3 ER -
APA
Youn, S., Jeong, D., Kwon, H., Han, E., Kim, S., & Jung, I. (2025). Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach. BioData Mining. https://doi.org/10.1186/s13040-025-00476-3
Source records
- crossref · retrieved 2026-09-25T20:08:04.859Z