Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches

Oksel, C, Winkler, DA, Ma, CY et al. (2 more authors) (2016) Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches. Nanotoxicology, 10 (7). pp. 1001-1012. ISSN 1743-5390

Abstract

Metadata

Authors/Creators:
  • Oksel, C
  • Winkler, DA
  • Ma, CY
  • Wilkins, T
  • Wang, XZ
Copyright, Publisher and Additional Information: © 2016, Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Nanotoxicology on 06/04/2016, available online: http://www.tandfonline.com/10.3109/17435390.2016.1161857
Keywords: Decision trees, genetic-programming, nanotoxicology, nanoSAR, QSAR
Dates:
  • Published: 6 April 2016
  • Accepted: 1 March 2016
  • Published (online): 8 March 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds) > Institute for Particle Science and Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Mar 2016 16:00
Last Modified: 14 Apr 2017 02:59
Published Version: http://dx.doi.org/10.3109/17435390.2016.1161857
Status: Published
Publisher: Taylor & Francis
Identification Number: https://doi.org/10.3109/17435390.2016.1161857
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