Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish

Gousiadou, C, Marchese Robinson, RL, Kotzabasaki, M et al. (5 more authors) (2021) Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish. Nanotoxicology, 15 (4). pp. 446-476. ISSN 1743-5390

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Copyright, Publisher and Additional Information: © 2021 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in Nanotoxicology. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Nano-QSAR; nano-toxicity; metal oxides; zebrafish; descriptors
Dates:
  • Published: May 2021
  • Accepted: 3 January 2021
  • Published (online): 15 February 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 04 May 2021 12:19
Last Modified: 07 May 2021 10:11
Published Version: https://www.tandfonline.com/doi/abs/10.1080/174353...
Status: Published
Publisher: Taylor & Francis
Identification Number: https://doi.org/10.1080/17435390.2021.1872113
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