Chen, Peng (陳鵬)
Chen, Peng (陳鵬)
Professor, Anhui University;Univ of Sci & Tech of China;Nanyang Techno Univ;Howard Univ;CityU;KAUST
Verifierad e-postadress på - Startsida
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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
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
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information
P Chen, J Li
BMC bioinformatics 11 (1), 1-15, 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
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 (15), 1-12, 2014
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
Multi-level learning features for automatic classification of field crop pests
C Xie, R Wang, J Zhang, P Chen, W Dong, R Li, T Chen, H Chen
Computers and Electronics in Agriculture 152, 233-241, 2018
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
DrugRPE: Random projection ensemble approach to drug-target interaction prediction
J Zhang, M Zhu, P Chen, B Wang
Neurocomputing 228, 256–262, 2016
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
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
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
Classification of plant leaf diseases based on improved convolutional neural network
JZBW Jie Hang, Dexiang Zhang, Peng Chen
Sensors 19 (19), 4083, 2019
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
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
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
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
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