-
[1] Ding, Yifan,杨丽,Yan, Shengtai,Cao, Yunqi,刘方,Zhai, Cheng.Mn-based bimetallic catalysts for porous media combustion of lean coal mine methane: Catalytic performance and heat transfer mechanism,2026,卷: 406子辑: A
-
[2] Li Yang,王晨凯,xuhaox,Wang, Chongxuan,liufang,Liu, Kunlei,Zhang, Jian.Surface functionalization and molecular mechanisms of KOH- modified activated carbon catalysts in methane decomposition for hydrogen production,2025,v 184,
-
[3] anjiyong,孟凡荣,yanziji.An efficient computational method for predicting drug-target interactions using weighted extreme learning machine and speed up robot features,2021,卷: 14期: 1
-
[4] anjiyong,zhouyong,yanziji,zhaoyujun.Predicting Self-Interacting Proteins Using a Recurrent Neural Network and Protein Evolutionary Information,2020,卷: 16
-
[5] anjiyong,zhouyong,zhaoyujun,yanziji.An Efficient Feature Extraction Technique Based on Local Coding PSSM and Multifeatures Fusion for Predicting Protein-Protein Interactions,2019,卷: 15
-
[6] anjiyong,You, Zhu-Hong,zhouyong,wangdafu.Sequence-based Prediction of Protein-Protein Interactions Using Gray Wolf Optimizer-Based Relevance Vector Machine,2019,卷: 15
-
[7] anjiyong,zhouyong,zhanglei,niuqiang,wangdafu.Improving Self-interacting Proteins Prediction Accuracy Using Protein Evolutionary Information and Weighed-extreme Learning Machine,2019,卷: 14期: 2页: 115-122
-
[8] 翟靖轩,曹天杰,安计勇.Highly accurate prediction of protein self-interactions by incorporating the average block and PSSM information into the general PseAAC,2017,432;11;
-
[9] anjiyong.Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information,2017,9;9;
-
[10] anjiyong,尤著宏,Xing Chen,黄德双,闫桂英,wangdafu.Robust and accurate prediction of protein self-interactions from amino acids sequence using evolutionary information,2016,12;12;3702-3710
