Compositional features analysis by machine learning in genome represents linear adaptation of monkeypox virus

Compositional features analysis by machine learning in genome represents linear adaptation of monkeypox virus

Introduction: The global headlines have been dominated by the sudden and widespread outbreak of monkeypox, a rare and endemic zoonotic disease caused by the monkeypox virus (MPXV). Genomic composition based machine learning (ML) methods have recently shown promise in identifying host adaptability an...

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Bibliographic Details
Main Authors: Sen Zhang, Ya-Dan Li, Yu-Rong Cai, Xiao-Ping Kang, Ye Feng, Yu-Chang Li, Yue-Hong Chen, Jing Li, Li-Li Bao, Tao Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Genetics
Subjects:
monkeypox viruses
machine learning
linear adaptation
open reading frame clusters
dinucleotide composition representation (DCR)
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2024.1361952/full

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https://www.frontiersin.org/articles/10.3389/fgene.2024.1361952/full

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