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Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses

[Image: see text] The problem of virus classification is always a subject of concern for virology or epidemiology over the decades. In this regard, a machine learning technique can be used to predict the novel coronavirus by considering its sequence. Thus, we are proposing a machine learning-based n...

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Autores principales: Sarkar, Jnanendra Prasad, Saha, Indrajit, Ghosh, Nimisha, Maity, Debasree, Plewczynski, Dariusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280959/
https://www.ncbi.nlm.nih.gov/pubmed/35847318
http://dx.doi.org/10.1021/acsomega.2c00215
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author Sarkar, Jnanendra Prasad
Saha, Indrajit
Ghosh, Nimisha
Maity, Debasree
Plewczynski, Dariusz
author_facet Sarkar, Jnanendra Prasad
Saha, Indrajit
Ghosh, Nimisha
Maity, Debasree
Plewczynski, Dariusz
author_sort Sarkar, Jnanendra Prasad
collection PubMed
description [Image: see text] The problem of virus classification is always a subject of concern for virology or epidemiology over the decades. In this regard, a machine learning technique can be used to predict the novel coronavirus by considering its sequence. Thus, we are proposing a machine learning-based novel coronavirus prediction technique, called COVID-Predictor, where 1000 sequences of SARS-CoV-1, MERS-CoV, SARS-CoV-2, and other viruses are used to train a Naive Bayes classifier so that it can predict any unknown sequences of these viruses. The model has been validated using 10-fold cross-validation in comparison with other machine learning techniques. The results show the superiority of our predictor by achieving an average 99.7% accuracy on an unseen validation set of viruses. The same pre-trained model has been used to design a web-based application where sequences of unknown viruses can be uploaded to predict the novel coronavirus.
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spelling pubmed-92809592022-07-15 Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses Sarkar, Jnanendra Prasad Saha, Indrajit Ghosh, Nimisha Maity, Debasree Plewczynski, Dariusz ACS Omega [Image: see text] The problem of virus classification is always a subject of concern for virology or epidemiology over the decades. In this regard, a machine learning technique can be used to predict the novel coronavirus by considering its sequence. Thus, we are proposing a machine learning-based novel coronavirus prediction technique, called COVID-Predictor, where 1000 sequences of SARS-CoV-1, MERS-CoV, SARS-CoV-2, and other viruses are used to train a Naive Bayes classifier so that it can predict any unknown sequences of these viruses. The model has been validated using 10-fold cross-validation in comparison with other machine learning techniques. The results show the superiority of our predictor by achieving an average 99.7% accuracy on an unseen validation set of viruses. The same pre-trained model has been used to design a web-based application where sequences of unknown viruses can be uploaded to predict the novel coronavirus. American Chemical Society 2022-06-28 /pmc/articles/PMC9280959/ /pubmed/35847318 http://dx.doi.org/10.1021/acsomega.2c00215 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Sarkar, Jnanendra Prasad
Saha, Indrajit
Ghosh, Nimisha
Maity, Debasree
Plewczynski, Dariusz
Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses
title Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses
title_full Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses
title_fullStr Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses
title_full_unstemmed Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses
title_short Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses
title_sort online predictor using machine learning to predict novel coronavirus and other pathogenic viruses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280959/
https://www.ncbi.nlm.nih.gov/pubmed/35847318
http://dx.doi.org/10.1021/acsomega.2c00215
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