Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome

Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome

JC polyomavirus (JCPyV) establishes a persistent, asymptomatic kidney infection in most of the population. However, JCPyV can reactivate in immunocompromised individuals and cause progressive multifocal leukoencephalopathy (PML), a fatal demyelinating disease with no approved treatment. Mutations in...

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Bibliographic Details
Main Authors: Aiden M. C. Pike, Saeed Amal, Melissa S. Maginnis, Michael P. Wilczek
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Viruses
Subjects:
JC polyomavirus
non-coding control region
<i>k</i>-mer
machine learning
neural network
multilayer perceptron
Online Access:https://www.mdpi.com/1999-4915/17/1/12
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