SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boostingMinghui Wang, Hongyan Zhou, Qin Ma et al.|Neural Computing and Applications|2020Cited by 41
Predicting Golgi-Resident Protein Types Using Conditional Covariance Minimization With XGBoost Based on Multiple Features FusionHongyan Zhou, Bin Yu, Qin Ma et al.|IEEE Access|2019Cited by 31
Prediction of Extracellular Matrix Proteins by Fusing Multiple Feature Information, Elastic Net, and Random Forest AlgorithmMinghui Wang, Bin Yu, Qin Ma et al.|Mathematics|2020Cited by 18
DE-MHAIPs: Identification of SARS-CoV-2 phosphorylation sites based on differential evolution multi-feature learning and multi-head attention mechanismMinghui Wang, Bin Yu, Jihua Jia et al.|Computers in Biology and Medicine|2023Cited by 13
AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learningYan Lu, Bin Yu, Hongyan Zhou et al.|Biomedical Signal Processing and Control|2024Cited by 13