research-article

Rapid Detection and Prediction of Influenza A Subtype using Deep Convolutional Neural Network based Ensemble Learning

Authors:

Yongfeng LiAuthors Info & Claims

ICBBB '20: Proceedings of the 2020 10th International Conference on Bioscience, Biochemistry and Bioinformatics

Pages 47 - 51

https://doi.org/10.1145/3386052.3386053

Published: 18 May 2020 Publication History

Abstract

Seasonal pandemics of influenza A viruses bring enormous threaten to human healthy. Different subtypes of influenza A viruses disseminated in human have variable susceptibilities to antiviral drug, so rapid subtyping of influenza A viruses has been increasingly important. Traditional biochemical methods for subtyping these viruses are expensive and time-consuming. Various sequencing techniques and deep learning methods bring an opportunity to analyse and gain information of those biont more conveniently and accurately. This paper proposes a deep convolutional neural network based ensemble learning model to precisely detect all subtypes of influenza A viruses. The experiments show that the proposed method can achieve the state-of-art performance for subtyping influenza A viruses and detecting a fire-new subtypes according to sequence data.

Source Code Available: The source code of this work is accessible on https://github.com/Sophiaaaaaa/Influenza-Subtyping.

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Cited By

Cai CLi JXia YLi W(2024)FluPMT: Prediction of Predominant Strains of Influenza A Viruses via Multi-Task LearningIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2024.337846821:5(1254-1263)Online publication date: Sep-2024
https://doi.org/10.1109/TCBB.2024.3378468
Sohrabi MZare-Mirakabad FGhidary SSaadat MSadegh-Zadeh S(2024)A novel data augmentation approach for influenza A subtype prediction based on HA proteinsComputers in Biology and Medicine10.1016/j.compbiomed.2024.108316172:COnline publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.compbiomed.2024.108316
Cacciabue MMarcone D(2023)INFINITy: A fast machine learning‐based application for human influenza A and B virus subtypingInfluenza and Other Respiratory Viruses10.1111/irv.1309617:1Online publication date: 25-Jan-2023
https://doi.org/10.1111/irv.13096
Show More Cited By

Index Terms

Rapid Detection and Prediction of Influenza A Subtype using Deep Convolutional Neural Network based Ensemble Learning
1. Applied computing
  1. Life and medical sciences
    1. Bioinformatics
    2. Computational biology
      1. Sequencing and genotyping technologies

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ICBBB '20: Proceedings of the 2020 10th International Conference on Bioscience, Biochemistry and Bioinformatics

January 2020

160 pages

ISBN:9781450376761

DOI:10.1145/3386052

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Natl University of Singapore: National University of Singapore
RIED, Tokai Univ., Japan: RIED, Tokai University, Japan

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2020

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ICBBB '20

ICBBB '20: 2020 10th International Conference on Bioscience, Biochemistry and Bioinformatics

January 19 - 22, 2020

Kyoto, Japan

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Cited By

Cai CLi JXia YLi W(2024)FluPMT: Prediction of Predominant Strains of Influenza A Viruses via Multi-Task LearningIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2024.337846821:5(1254-1263)Online publication date: Sep-2024
https://doi.org/10.1109/TCBB.2024.3378468
Sohrabi MZare-Mirakabad FGhidary SSaadat MSadegh-Zadeh S(2024)A novel data augmentation approach for influenza A subtype prediction based on HA proteinsComputers in Biology and Medicine10.1016/j.compbiomed.2024.108316172:COnline publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.compbiomed.2024.108316
Cacciabue MMarcone D(2023)INFINITy: A fast machine learning‐based application for human influenza A and B virus subtypingInfluenza and Other Respiratory Viruses10.1111/irv.1309617:1Online publication date: 25-Jan-2023
https://doi.org/10.1111/irv.13096
Borkenhagen LAllen MRunstadler J(2021)Influenza Virus Genotype to Phenotype Predictions Through Machine Learning: A Systematic ReviewEmerging Microbes & Infections10.1080/22221751.2021.1978824(1-58)Online publication date: 9-Sep-2021
https://doi.org/10.1080/22221751.2021.1978824

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