Anomaly Detection Models for SARS-CoV-2 Surveillance Based on Genome <i>k</i>-mers
Since COVID-19 has brought great challenges to global public health governance, developing methods that track the evolution of the virus over the course of an epidemic or pandemic is useful for public health. This paper uses anomaly detection models to analyze SARS-CoV-2 virus genome <i>k</...
| Main Authors: | , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
MDPI AG
2023-11-01
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| 叢編: | Microorganisms |
| 主題: | |
| 在線閱讀: | https://www.mdpi.com/2076-2607/11/11/2773 |