Unsupervised learning analysis on the proteomes of Zika virus

Unsupervised learning analysis on the proteomes of Zika virus

Background The Zika virus (ZIKV), which is transmitted by mosquito vectors to nonhuman primates and humans, causes devastating outbreaks in the poorest tropical regions of the world. Molecular epidemiology, supported by clustering phylogenetic gold standard studies using sequence data, has provided...

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Bibliographic Details
Main Authors: Edgar E. Lara-Ramírez, Gildardo Rivera, Amanda Alejandra Oliva-Hernández, Virgilio Bocanegra-Garcia, Jesús Adrián López, Xianwu Guo
Format: Article
Language:English
Published: PeerJ Inc. 2024-11-01
Series:PeerJ Computer Science
Subjects:
Machine learning
Unsupervised Learning
Zika virus
Phylogenetics
Phylogenetic dependence
Online Access:https://peerj.com/articles/cs-2443.pdf
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