AMPDeep: hemolytic activity prediction of antimicrobial peptides using transfer learning

BACKGROUND: Deep learning’s automatic feature extraction has proven to give superior performance in many sequence classification tasks. However, deep learning models generally require a massive amount of data to train, which in the case of Hemolytic Activity Prediction of Antimicrobial Peptides crea...

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Detalles Bibliográficos
Autores principales: Salem, Milad, Keshavarzi Arshadi, Arash, Yuan, Jiann Shiun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511757/
https://www.ncbi.nlm.nih.gov/pubmed/36163001
http://dx.doi.org/10.1186/s12859-022-04952-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511757/
https://www.ncbi.nlm.nih.gov/pubmed/36163001
http://dx.doi.org/10.1186/s12859-022-04952-z

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