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Jun Hu 0011
Person information
- affiliation: University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, China
Other persons with the same name
- Jun Hu — disambiguation page
- Jun Hu 0001 — Eindhoven University of Technology, Department of Industrial Design, The Netherlands
- Jun Hu 0002 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China (and 1 more)
- Jun Hu 0003 — National University of Defense Technology, College of Electronic Science, Changsha, China
- Jun Hu 0004 — Harbin University of Science and Technology, Department of Mathematics, China (and 3 more)
- Jun Hu 0005 — Central South University, School of Geosciences, Department of Surveying and Remote Sensing, Changsha, China (and 2 more)
- Jun Hu 0006 — Southeast University, State Key Laboratory of Millimeter Waves, Nanjing, China
- Jun Hu 0007 — NVIDIA, Santa Clara, CA, USA (and 1 more)
- Jun Hu 0008 — Université de technologie de Belfort-Montbéliard, France
- Jun Hu 0009 — Hunan University, College of Computer Science and Electronic Engineering, China
- Jun Hu 0010 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
- Jun Hu 0012 — Tsinghua University, State Key Laboratory of Power Systems, Department of Electrical EngineeringBeijing, China
- Jun Hu 0013 — Peking University, School of Mathematical Sciences, Beijing, China
- Jun Hu 0014 — Parametrix.AI, Shenzhen, China
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2010 – 2019
- 2019
- [j11]Yang Li, Jun Hu, Chengxin Zhang, Dong-Jun Yu, Yang Zhang:
ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks. Bioinform. 35(22): 4647-4655 (2019) - 2018
- [j10]Jun Hu, Zi Liu, Dong-Jun Yu, Yang Zhang:
LS-align: an atom-level, flexible ligand structural alignment algorithm for high-throughput virtual screening. Bioinform. 34(13): 2209-2218 (2018) - [j9]Jun Hu, Yang Li, Yang Zhang, Dong-Jun Yu:
ATPbind: Accurate Protein-ATP Binding Site Prediction by Combining Sequence-Profiling and Structure-Based Comparisons. J. Chem. Inf. Model. 58(2): 501-510 (2018) - 2017
- [j8]Jun Hu, Yang Li, Ming Zhang, Xibei Yang, Hong-Bin Shen, Dong-Jun Yu:
Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1389-1398 (2017) - [c2]Jun Hu, Zi Liu, Dong-Jun Yu:
Enhancing Protein-ATP and Protein-ADP Binding Sites Prediction Using Supervised Instance-Transfer Learning. ACPR 2017: 759-763 - 2016
- [j7]Jun Hu, Yang Li, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu:
GPCR-drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure. Comput. Biol. Chem. 60: 59-71 (2016) - [j6]Jun Hu, Yang Li, Wuxia Yan, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu:
KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning. Neurocomputing 191: 363-373 (2016) - 2015
- [j5]Dong-Jun Yu, Yang Li, Jun Hu, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen:
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 12(3): 611-621 (2015) - 2014
- [j4]Dong-Jun Yu, Jun Hu, Hui Yan, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen:
Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble. BMC Bioinform. 15: 297 (2014) - 2013
- [j3]Dong-Jun Yu, Jun Hu, Zhenmin Tang, Hong-Bin Shen, Jian Yang, Jing-Yu Yang:
Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling. Neurocomputing 104: 180-190 (2013) - [j2]Dong-Jun Yu, Jun Hu, Yan Huang, Hong-Bin Shen, Yong Qi, Zhenmin Tang, Jing-Yu Yang:
TargetATPsite: A template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble. J. Comput. Chem. 34(11): 974-985 (2013) - [j1]Dong-Jun Yu, Jun Hu, Jing Yang, Hong-Bin Shen, Jinhui Tang, Jing-Yu Yang:
Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 994-1008 (2013) - 2012
- [c1]Dongjun Yu, Jun Hu, Xiaoning Song, Yong Qi, Zhenmin Tang:
Supervised Kernel Self-Organizing Map. IScIDE 2012: 246-253
Coauthor Index
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