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Updated: Jun 19, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms
Published on: May 9, 2017
Deep learning in biology faces a transferability crisis
Thomas A O'Shea-Wheller1, Katie I Murray2,3
1Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall, United Kingdom.
Abstract:
Creating generalizable models is a conserved aim in deep learning-however, misleading claims of transferability threaten to obfuscate reliable performance evaluation. We outline the severity of this issue in the biosciences, and suggest potential solutions.
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