https://doi.org/10.7490/f1000research.1117257.1
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Kopas L, Kusalik A and Schneider D. Antimicrobial resistance prediction from whole-genome sequence data using transfer learning [version 1; not peer reviewed]. F1000Research 2019, 8:1333 (poster) (https://doi.org/10.7490/f1000research.1117257.1)
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Antimicrobial resistance prediction from whole-genome sequence data using transfer learning

Logan Kopas1, Anthony Kusalik, Dave Schneider
Author Affiliations
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Published 01 Aug 2019

Antimicrobial resistance prediction from whole-genome sequence data using transfer learning

[version 1; not peer reviewed]

Logan Kopas1, Anthony Kusalik, Dave Schneider
Author Affiliations
1 University of Saskatchewan, Canada
Presented at
ISMB/ECCB 2019
Abstract
Competing Interests

No competing interests were disclosed

Keywords
transfer learning, deep learning, AMR, prediction, phenotype prediction, Neisseria gonorrhoeae, Lens culinaris, SNP, WGS, genetic variant, antimicrobial resistance, CNN, convolutional neural network
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