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Predicting characterization factors of chemical substances from a set of molecular descriptors based on machine learning algorithms

Abstract : A recommendation – based on reviews by Patrice Couture, Dominique Lamonica, Sylvain Bart and one anonymous reviewer – of the article: Servien R, Latrille E, Patureau D, Hélias A (2022) Machine learning models based on molecular descriptors to predict human and environmental toxicological factors in continental freshwater. bioRxiv, 2021.07.20.453034, ver. 6 peer-reviewed and recommended by Peer Community in Ecotoxicology and Environmental Chemistry. https://doi.org/10.1101/2021.07.20.453034
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https://hal.archives-ouvertes.fr/hal-03536987
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Submitted on : Thursday, January 20, 2022 - 11:00:16 AM
Last modification on : Thursday, May 5, 2022 - 3:31:29 AM
Long-term archiving on: : Thursday, April 21, 2022 - 6:42:01 PM

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Sandrine Charles. Predicting characterization factors of chemical substances from a set of molecular descriptors based on machine learning algorithms. 2022, pp.100001. ⟨10.24072/pci.ecotoxenvchem.100001⟩. ⟨hal-03536987⟩

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