Hierarchical clustering split for low-bias evaluation of drug-target interaction prediction

Bai, P., Milikovic, F., Ge, Y. et al. (3 more authors) (2022) Hierarchical clustering split for low-bias evaluation of drug-target interaction prediction. In: Proceeding of 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 09-12 Dec 2021, Houston, TX, USA (Online). Institute of Electrical and Electronics Engineers , 641- 644. ISBN 9781665429825

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Copyright, Publisher and Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Drug-target interaction; data bias; data splitting strategy; performance evaluation
Dates:
  • Accepted: 23 October 2021
  • Published (online): 14 January 2022
  • Published: 14 January 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Dec 2021 10:01
Last Modified: 08 Mar 2022 16:34
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/BIBM52615.2021.9669515
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Filename: LowBiasDTI_BIBM2021.pdf

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