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Learned protein embeddings for machine learning

MOTIVATION: Machine-learning models trained on protein sequences and their measured functions can infer biological properties of unseen sequences without requiring an understanding of the underlying physical or biological mechanisms. Such models enable the prediction and discovery of sequences with...

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Publicat a:Bioinformatics
Autors principals: Yang, Kevin K, Wu, Zachary, Bedbrook, Claire N, Arnold, Frances H
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2018
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6061698/
https://ncbi.nlm.nih.gov/pubmed/29584811
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty178
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