Evidential deep learning for trustworthy prediction of enzyme commission number

The rapid growth of uncharacterized enzymes and their functional diversity urge accurate and trustworthy computational functional annotation tools. However, current state-of-the-art models lack trustworthiness on the prediction of the multilabel classification problem with thousands of classes. Here...

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Detalles Bibliográficos
Autores principales: Han, So-Ra, Park, Mingyu, Kosaraju, Sai, Lee, JeungMin, Lee, Hyun, Lee, Jun Hyuck, Oh, Tae-Jin, Kang, Mingon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664415/
https://www.ncbi.nlm.nih.gov/pubmed/37991247
http://dx.doi.org/10.1093/bib/bbad401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664415/
https://www.ncbi.nlm.nih.gov/pubmed/37991247
http://dx.doi.org/10.1093/bib/bbad401

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