Anomaly Detection Models for SARS-CoV-2 Surveillance Based on Genome <i>k</i>-mers

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</...

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Bibliographic Details
Main Authors: Haotian Ren, Yixue Li, Tao Huang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Microorganisms
Subjects:
anomaly detection
virus surveillance
SARS-CoV-2
<i>k</i>-mer
machine learning
Online Access:https://www.mdpi.com/2076-2607/11/11/2773

Internet

https://www.mdpi.com/2076-2607/11/11/2773

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