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Decision tree based ensemble machine learning model for the prediction of Zika virus T-cell epitopes...

Decision tree based ensemble machine learning model for the prediction of Zika virus T-cell epitopes...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4e72c9d05f494b81b1c1f36f409af3ab

Decision tree based ensemble machine learning model for the prediction of Zika virus T-cell epitopes as potential vaccine candidates

About this item

Full title

Decision tree based ensemble machine learning model for the prediction of Zika virus T-cell epitopes as potential vaccine candidates

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-05, Vol.12 (1), p.7810-7810, Article 7810

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Zika fever is an infectious disease caused by the Zika virus (ZIKV). The disease is claiming millions of lives worldwide, primarily in developing countries. In addition to vector control strategies, the most effective way to prevent the spread of ZIKV infection is vaccination. There is no clinically approved vaccine to combat ZIKV infection and cur...

Alternative Titles

Full title

Decision tree based ensemble machine learning model for the prediction of Zika virus T-cell epitopes as potential vaccine candidates

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4e72c9d05f494b81b1c1f36f409af3ab

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4e72c9d05f494b81b1c1f36f409af3ab

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-11731-6

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