Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

Rohitash Chandra; Chaarvi Bansal; Mingyue Kang; Tom Blau; Vinti Agarwal; Pranjal Singh; Laurence O. W. Wilson; Seshadri Vasan

doi:10.1371/journal.pone.0285719

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Open Access

Peer-reviewed

Research Article

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

Rohitash Chandra ,

Roles Conceptualization, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

* E-mail: rohitash.chandra@unsw.edu.au (RC); tom.blau@data61.csiro.au (TB)

Affiliation Transitional Artificial Intelligence Research Group, School of Mathematics and Statistics, UNSW Sydney, Sydney, Australia

https://orcid.org/0000-0001-6353-1464

⨯
Chaarvi Bansal,

Roles Data curation, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliations Transitional Artificial Intelligence Research Group, School of Mathematics and Statistics, UNSW Sydney, Sydney, Australia, Department of Computer Science and Information Systems, Birla Institute of Technology and Science Pilani, Rajasthan, India

https://orcid.org/0000-0001-8080-9202

⨯
Mingyue Kang,

Roles Data curation, Software, Visualization, Writing – original draft

Affiliation Transitional Artificial Intelligence Research Group, School of Mathematics and Statistics, UNSW Sydney, Sydney, Australia
⨯
Tom Blau ,

Roles Investigation, Methodology, Writing – review & editing

* E-mail: rohitash.chandra@unsw.edu.au (RC); tom.blau@data61.csiro.au (TB)

Affiliation Data 61, CSIRO, Sydney, Australia
⨯
Vinti Agarwal,

Roles Validation

Affiliation Department of Computer Science and Information Systems, Birla Institute of Technology and Science Pilani, Rajasthan, India
⨯
Pranjal Singh,

Roles Software, Validation

Affiliation Department of Computer Science and Engineering, Indian Institute of Technology Guwathi, Assam, India
⨯
Laurence O. W. Wilson,

Roles Data curation, Methodology, Software

Affiliation Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, North Ryde, Australia
⨯
Seshadri Vasan

Roles Investigation, Methodology, Project administration, Supervision

Affiliation Department of Health Sciences, University of York, York, United Kingdom
⨯

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

Rohitash Chandra,
Chaarvi Bansal,
Mingyue Kang,
Tom Blau,
Vinti Agarwal,
Pranjal Singh,
Laurence O. W. Wilson,
Seshadri Vasan

Published: May 18, 2023
https://doi.org/10.1371/journal.pone.0285719

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