Predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest

Predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest

10.3390/ijms18061135

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Bibliographic Details
Main Authors:	Eng, C.L.P, Tong, J.C, Tan, T.W
Other Authors:	BIOCHEMISTRY
Format:	Article
Published:	2020
Subjects:	amino acid sequence area under the curve Article avian influenza diagnostic test accuracy study Influenza A virus machine learning nonhuman physical chemistry predictive value random forest receiver operating characteristic retrospective study sensitivity and specificity viral tropism zoonosis animal bird epidemic genetic database genetics host pathogen interaction host range human influenza orthomyxovirus infection reproducibility theoretical model virology viral protein Animals Area Under Curve Birds Databases, Genetic Disease Outbreaks Host Specificity Host-Pathogen Interactions Humans Influenza in Birds Influenza, Human Machine Learning Models, Theoretical Orthomyxoviridae Infections Reproducibility of Results Retrospective Studies Viral Proteins Viral Tropism Zoonoses
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/176089
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Institution:	National University of Singapore

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