Using an Unsupervised Clustering Model to Detect the Early Spread of SARS-CoV-2 Worldwide

Deciphering the population structure of SARS-CoV-2 is critical to inform public health management and reduce the risk of future dissemination. With the continuous accruing of SARS-CoV-2 genomes worldwide, discovering an effective way to group these genomes is critical for organizing the landscape of...

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Bibliographic Details
Main Authors: Yawei Li, Qingyun Liu, Zexian Zeng, Yuan Luo
Format: Artigo
Language:Inglês
Published: MDPI AG 2022-04-01
Series:Genes
Subjects:
deep learning clustering
population structure
evolution
nucleotide substitutions
SARS-CoV-2
Online Access:https://www.mdpi.com/2073-4425/13/4/648
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