A statistical framework for assessing pharmacological responses and biomarkers using uncertainty estimates

Wang, D. orcid.org/0000-0003-0068-1005, Hensman, J., Kutkaite, G. et al. (18 more authors) (2020) A statistical framework for assessing pharmacological responses and biomarkers using uncertainty estimates. eLife, 9. e60352. ISSN 2050-084X

Abstract

Metadata

Authors/Creators:
  • Wang, D. ORCID logo https://orcid.org/0000-0003-0068-1005
  • Hensman, J.
  • Kutkaite, G.
  • Toh, T.S.
  • Galhoz, A.
  • Lightfoot, H.
  • Yang, W.
  • Soleimani, M.
  • Barthorpe, S.
  • Mironenko, T.
  • Beck, A.
  • Richardson, L.
  • Lleshi, E.
  • Hall, J.
  • Tolley, C.
  • Barendt, W.
  • Dry, J.R.
  • Saez-Rodriguez, J.
  • Garnett, M.J.
  • Menden, M.P.
  • Dondelinger, F.
Copyright, Publisher and Additional Information: © Wang et al. This article is distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use and redistribution provided that the original author and source are credited.
Keywords: biomarkers; computational biology; drug prediction; human; machine learning; pharmacogenomics; statistical inference; systems biology; uncertainty estimation
Dates:
  • Accepted: 4 December 2020
  • Published (online): 17 December 2020
  • Published: 17 December 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Neuroscience (Sheffield)
Funding Information:
FunderGrant number
ACADEMY OF MEDICAL SCIENCESSBF004\1052
ROSETREES TRUSTnan
Engineering and Physical Sciences Research Council2132030
Depositing User: Symplectic Sheffield
Date Deposited: 21 Jan 2021 17:26
Last Modified: 21 Jan 2021 17:27
Status: Published
Publisher: eLife Sciences Publications, Ltd
Refereed: Yes
Identification Number: https://doi.org/10.7554/elife.60352
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