Res-GCN: Identification of protein phosphorylation sites using graph convolutional network and residual network
Minghui Wang(Qingdao University of Science and Technology), Bin Yu(University of Science and Technology of China), Hongyan Zhou(University of North Carolina at Chapel Hill), Jihua Jia(Qingdao University of Science and Technology), Fei Xu(Qingdao University of Science and Technology), Yushuang Liu(Qingdao University of Science and Technology)
Cited by 9
Related Papers
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting
|Bioinformatics|2019|186
GTB-PPI: Predict Protein–Protein Interactions Based on L1-Regularized Logistic Regression and Gradient Tree Boosting
|Genomics Proteomics & Bioinformatics|2020|56
SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting
|Neural Computing and Applications|2020|41
Hyperuricemia research progress in model construction and traditional Chinese medicine interventions
|Frontiers in Pharmacology|2024|41