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

10.3390/ijms18061135

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Main Authors:	Eng, C.L.P, Tong, J.C, Tan, T.W
Other Authors:	DEPT OF 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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spelling	sg-nus-scholar.10635-1760892023-09-13T21:38:00Z Predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest Eng, C.L.P Tong, J.C Tan, T.W DEPT OF BIOCHEMISTRY 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 Influenza A virus machine learning orthomyxovirus infection reproducibility theoretical model viral tropism virology viral protein Animals Area Under Curve Birds Databases, Genetic Disease Outbreaks Host Specificity Host-Pathogen Interactions Humans Influenza A virus Influenza in Birds Influenza, Human Machine Learning Models, Theoretical Orthomyxoviridae Infections Reproducibility of Results Retrospective Studies Viral Proteins Viral Tropism Zoonoses 10.3390/ijms18061135 International Journal of Molecular Sciences 18 6 A1135 2020-09-14T08:03:55Z 2020-09-14T08:03:55Z 2017 Article Eng, C.L.P, Tong, J.C, Tan, T.W (2017). Predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest. International Journal of Molecular Sciences 18 (6) : A1135. ScholarBank@NUS Repository. https://doi.org/10.3390/ijms18061135 1661-6596 https://scholarbank.nus.edu.sg/handle/10635/176089 Unpaywall 20200831
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	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 Influenza A virus machine learning orthomyxovirus infection reproducibility theoretical model viral tropism virology viral protein Animals Area Under Curve Birds Databases, Genetic Disease Outbreaks Host Specificity Host-Pathogen Interactions Humans Influenza A virus Influenza in Birds Influenza, Human Machine Learning Models, Theoretical Orthomyxoviridae Infections Reproducibility of Results Retrospective Studies Viral Proteins Viral Tropism Zoonoses
spellingShingle	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 Influenza A virus machine learning orthomyxovirus infection reproducibility theoretical model viral tropism virology viral protein Animals Area Under Curve Birds Databases, Genetic Disease Outbreaks Host Specificity Host-Pathogen Interactions Humans Influenza A virus Influenza in Birds Influenza, Human Machine Learning Models, Theoretical Orthomyxoviridae Infections Reproducibility of Results Retrospective Studies Viral Proteins Viral Tropism Zoonoses Eng, C.L.P Tong, J.C Tan, T.W Predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest
description	10.3390/ijms18061135
author2	DEPT OF BIOCHEMISTRY
author_facet	DEPT OF BIOCHEMISTRY Eng, C.L.P Tong, J.C Tan, T.W
format	Article
author	Eng, C.L.P Tong, J.C Tan, T.W
author_sort	Eng, C.L.P
title	Predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest
title_short	Predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest
title_full	Predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest
title_fullStr	Predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest
title_full_unstemmed	Predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest
title_sort	predicting zoonotic risk of influenza a viruses from host tropism protein signature using random forest
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/176089
_version_	1778169975915151360

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

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