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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Autors principals:	Liyang Wang, Dantong Niu, Xinjie Zhao, Xiaoya Wang, Mengzhen Hao, Huilian Che
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-04-01
Col·lecció:	Foods
Matèries:	food allergens allergenicity prediction deep learning ensemble learning comparative analysis
Accés en línia:	https://www.mdpi.com/2304-8158/10/4/809
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