Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setups

Abstract While LC retention time prediction of peptides and their modifications has proven useful, widespread adoption and optimal performance are hindered by variations in experimental parameters. These variations can render retention time prediction models inaccurate and dramatically reduce the va...

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Detalhes bibliográficos

Principais autores:	Robbin Bouwmeester, Alireza Nameni, Arthur Declercq, Robbe Devreese, Kevin Velghe, Vladimir Gorshkov, Pelayo A. Penanes, Frank Kjeldsen, Magali Rompais, Christine Carapito, Ralf Gabriels, Lennart Martens
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-02-01
coleção:	Nature Communications
Acesso em linha:	https://doi.org/10.1038/s41467-026-68981-5
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