Deep learning in biology faces a transferability crisis.
Journal:
PLoS biology
Published Date:
Mar 3, 2026
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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