A Novel Machine Learning Strategy for Prediction of Antihypertensive Peptides Derived from Food with High Efficiency
Liyang Wang, Dantong Niu, Xiaoya Wang, Jabir Khan, Qun Shen, Yong Xue
This study develops an XGBoost model to predict antihypertensive peptides from food, achieving high accuracy and efficiency compared to other models.
Foods · Mar 6, 2021Peer-reviewedBioinformatics