Chen, Peng (陳鵬)
Chen, Peng (陳鵬)
Professor, Anhui University;Univ of Sci & Tech of China;Nanyang Techno Univ;Howard Univ;CityU;KAUST
Verified email at - Homepage
Cited by
Cited by
Predicting protein interaction sites from residue spatial sequence profile and evolution rate
B Wang, P Chen, DS Huang, J Li, TM Lok, MR Lyu
FEBS letters 580 (2), 380-384, 2006
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information
P Chen, J Li
BMC bioinformatics 11 (1), 402, 2010
Identifying protein-protein interfacial residues in heterocomplexes using residue conservation scores
JJ Li, DS Huang, B Wang, P Chen
International journal of biological macromolecules 38 (3-5), 241-247, 2006
Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning
C Xie, J Zhang, R Li, J Li, P Hong, J Xia, P Chen
Computers and Electronics in Agriculture 119, 123-132, 2015
Protein-Protein Interface Hot Spots Prediction Based on a Hybrid Feature Selection Strategy
Y Qiao, Y Xiong, H Gao, X Zhu, P Chen*
BMC Bioinformatics 19, 14, 2018
Accurate prediction of hot spot residues through physicochemical characteristics of amino acid sequences
P Chen, J Li, L Wong, H Kuwahara, JZ Huang, X Gao
Proteins: Structure, Function, and Bioinformatics 81 (8), 1351-1362, 2013
LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone
P Chen, JZ Huang, X Gao
BMC bioinformatics 15 (S15), S4, 2014
Prediction of protein long-range contacts using an ensemble of genetic algorithm classifiers with sequence profile centers
P Chen, J Li
BMC structural biology 10 (1), 1-13, 2010
Radial basis function neural network ensemble for predicting protein-protein interaction sites in heterocomplexes
B Wang, P Chen, P Wang, G Zhao, X Zhang
Protein and peptide letters 17 (9), 1111-1116, 2010
Collaborative object tracking model with local sparse representation
C Xie, J Tan, P Chen, J Zhang, L He
Journal of Visual Communication and Image Representation 25 (2), 423–434, 2014
A sequence-based dynamic ensemble learning system for protein ligand-binding site prediction
P Chen, B Wang, J Zhang, X Gao, J Li, J Xia
IEEE/ACM Transactions on Computational Biology and Bioinformatics 13 (5 …, 2015
DrugRPE: Random projection ensemble approach to drug-target interaction prediction
J Zhang, M Zhu, P Chen, B Wang
Neurocomputing 228, 256–262, 2016
DomSVR: domain boundary prediction with support vector regression from sequence information alone
P Chen, C Liu, L Burge, J Li, M Mohammad, W Southerland, C Gloster, ...
Amino acids 39 (3), 713-726, 2010
Protein binding hot spots prediction from sequence only by a new ensemble learning method
SS Hu, P Chen*, B Wang, J Li
Amino Acids 49, 1773–1785, 2017
Detection of outlier residues for improving interface prediction in protein hetero-complexes
P Chen, L Wong, J Li
IEEE Transactions on Computational Biology and Bioinformatics, 2012
Identification of ovarian cancer subtype-specific network modules and candidate drivers through an integrative genomics approach
PC Di Zhang, CH Zheng, J Xia
Oncotarget 7 (4), 4298, 2016
Prediction of protein B-factors using multi-class bounded SVM
P Chen, B Wang, HS Wong, DS Huang
Protein and peptide letters 14 (2), 185-190, 2007
Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning
S Xia, P Chen, J Zhang, X Li, B Wang
Neurocomputing 228, 11-18, 2017
Insect detection and classification based on an improved convolutional neural network
D Xia, P Chen, B Wang, J Zhang, C Xie
Sensors 18 (12), 4169, 2018
Predicting key long-range interaction sites by B-factors
P Chen, K Han, X Li, DS Huang
Protein and Peptide Letters 15 (5), 478-483, 2008
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