• Media type: E-Article
  • Title: Exploring the octanol-water partition coefficient dataset using deep learning techniques and data augmentation
  • Contributor: Ulrich, Nadin [VerfasserIn]; Goss, Kai-Uwe [VerfasserIn]; Ebert, Andrea [VerfasserIn]
  • imprint: 2021
  • Published in: Communications chemistry ; 4(2021), Artikel-ID 90, Seite 1-10
  • Language: English
  • DOI: 10.1038/s42004-021-00528-9
  • ISSN: 2399-3669
  • Identifier:
  • Origination:
  • Footnote:
  • Access State: Open Access
  • Rights information: Attribution (CC BY)