Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties
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2023
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oai:scholars.utp.edu.my:369622023-09-05T08:58:26Z http://scholars.utp.edu.my/id/eprint/36962/ Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties Tabaaza, Grace Amabel Tackie-Otoo, Bennet Nii Zaini, Dzulkarnain B Otchere, Daniel Asante Lal, Bhajan Elsevier 2023 Article NonPeerReviewed Tabaaza, Grace Amabel and Tackie-Otoo, Bennet Nii and Zaini, Dzulkarnain B and Otchere, Daniel Asante and Lal, Bhajan (2023) Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties. Computational Toxicology, 26. p. 100266. |
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Tabaaza, Grace Amabel Tackie-Otoo, Bennet Nii Zaini, Dzulkarnain B Otchere, Daniel Asante Lal, Bhajan |
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Tabaaza, Grace Amabel Tackie-Otoo, Bennet Nii Zaini, Dzulkarnain B Otchere, Daniel Asante Lal, Bhajan Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties |
author_facet |
Tabaaza, Grace Amabel Tackie-Otoo, Bennet Nii Zaini, Dzulkarnain B Otchere, Daniel Asante Lal, Bhajan |
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Tabaaza, Grace Amabel |
title |
Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties |
title_short |
Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties |
title_full |
Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties |
title_fullStr |
Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties |
title_full_unstemmed |
Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties |
title_sort |
application of machine learning models to predict cytotoxicity of ionic liquids using volsurf principal properties |
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Elsevier |
publishDate |
2023 |
url |
http://scholars.utp.edu.my/id/eprint/36962/ |
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1776249641185050624 |