A large-scale comparative study on peptide encodings for biomedical classification

Owing to the great variety of distinct peptide encodings, working on a biomedical classification task at hand is challenging. Researchers have to determine encodings capable to represent underlying patterns as numerical input for the subsequent machine learning. A general guideline is lacking in the...

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Detalles Bibliográficos
Autores principales: Spänig, Sebastian, Mohsen, Siba, Hattab, Georges, Hauschild, Anne-Christin, Heider, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140742/
https://www.ncbi.nlm.nih.gov/pubmed/34046590
http://dx.doi.org/10.1093/nargab/lqab039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140742/
https://www.ncbi.nlm.nih.gov/pubmed/34046590
http://dx.doi.org/10.1093/nargab/lqab039

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