A Comparative Analysis of Novel Deep Learning and Ensemble Learning Models to Predict the Allergenicity of Food Proteins

Traditional food allergen identification mainly relies on in vivo and in vitro experiments, which often needs a long period and high cost. The artificial intelligence (AI)-driven rapid food allergen identification method has solved the above mentioned some drawbacks and is becoming an efficient auxi...

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Detalles Bibliográficos
Autores principales: Wang, Liyang, Niu, Dantong, Zhao, Xinjie, Wang, Xiaoya, Hao, Mengzhen, Che, Huilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069377/
https://www.ncbi.nlm.nih.gov/pubmed/33918556
http://dx.doi.org/10.3390/foods10040809

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069377/
https://www.ncbi.nlm.nih.gov/pubmed/33918556
http://dx.doi.org/10.3390/foods10040809

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