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SAR and QSAR in Environmental Research Volume 34, 2023 - Issue 9
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Research Article

Optimal selection of learning data for highly accurate QSAR prediction of chemical biodegradability: a machine learning-based approach

K. Takedaa Graduate School of Integrated Science and Technology, Shizuoka University, Hamamatsu, JapanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0009-0001-2237-4359View further author information
ORCID Icon,
K. Takeuchib Chemicals Management Center, National Institute of Technology and Evaluation, Tokyo, JapanView further author information
,
Y. Sakuratanib Chemicals Management Center, National Institute of Technology and Evaluation, Tokyo, JapanView further author information
&
K. Kimbaraa Graduate School of Integrated Science and Technology, Shizuoka University, Hamamatsu, JapanORCID Iconhttps://orcid.org/0000-0001-5390-3762View further author information
ORCID Icon
Pages 729-743 | Received 13 Jun 2023, Accepted 19 Aug 2023, Published online: 07 Sep 2023

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