Pairwise Relative Distance (PRED) is an intuitive and robust metric for assessing vector similarity and class separability

This is a preprint and may not have undergone formal peer review

Mittal, A.M. orcid.org/0000-0002-8633-3126, Lin, A.C. orcid.org/0000-0001-6310-9765 and Gupta, N. orcid.org/0000-0002-8408-3848 (Submitted: 2021) Pairwise Relative Distance (PRED) is an intuitive and robust metric for assessing vector similarity and class separability. [Preprint - bioRxiv] (Submitted)

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Item Type: Preprint
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2021 The Author(s). This preprint is made available under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/)

Keywords: Biotechnology
Dates:
  • Submitted: 15 August 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield)
Funding Information:
Funder
Grant number
EUROPEAN COMMISSION - HORIZON 2020
639489
BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL
BB/S016031/1
Depositing User: Symplectic Sheffield
Date Deposited: 10 Feb 2023 11:10
Last Modified: 10 Feb 2023 11:10
Published Version: http://dx.doi.org/10.1101/2021.08.13.456194
Status: Submitted
Publisher: Cold Spring Harbor Laboratory
Identification Number: 10.1101/2021.08.13.456194
Open Archives Initiative ID (OAI ID):

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