Lhasa Limited shared knowledge shared progress
  • Highlighted Item:
  • Webinar:
  • Publisher:
    Journal of Cheminformatics
  • Publication Date:
    Mar 2014
  • Reference:
    Journal of Cheminformatics, 2014, 6(8)
  • DOI:
  • PMID:
  • Publication Type:
  • Related Products:
  • Scientific Area:
  • Endpoint:
  • Industry Type:
  • Related event:

Feature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity

Hanser T; Howlin B; Krause P; Vessey J; Webb S;

A new algorithm has been developed to enable the interpretation of black box models for reactivity-based endpoints. The developed algorithm is agnostic to learning algorithm and descriptor choice, and has provided meaningful interpretation of Ames mutagenicity predictions from both random forest and support vector machine models built on a variety of structural fingerprints.

Visit site

Additional Documents

    © 2023 Lhasa Limited | Registered office: Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK Tel: +44 (0)113 394 6020
    VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).