A regularized functional regression model enabling transcriptome-wide dosage-dependent association study of cancer drug response

Koukouli, E., Wang, D. orcid.org/0000-0003-0068-1005, Dondelinger, F. et al. (1 more author) (2021) A regularized functional regression model enabling transcriptome-wide dosage-dependent association study of cancer drug response. PLOS Computational Biology, 17 (1). e1008066. ISSN 1553-734X

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Copyright, Publisher and Additional Information: © 2021 Koukouli et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Accepted: 17 December 2020
  • Published (online): 25 January 2021
  • Published: 25 January 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Neuroscience (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Mar 2021 11:51
Last Modified: 23 Mar 2021 11:51
Status: Published
Publisher: Public Library of Science (PLoS)
Refereed: Yes
Identification Number: https://doi.org/10.1371/journal.pcbi.1008066
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