Dong-Jun Yu
Cited by
Cited by
Combination of interval-valued fuzzy set and soft set
X Yang, TY Lin, J Yang, Y Li, D Yu
Computers & Mathematics with Applications 58 (3), 521-527, 2009
pRNAm-PC: Predicting N6-methyladenosine sites in RNA sequences via physical–chemical properties
Z Liu, X Xiao, DJ Yu, J Jia, WR Qiu, KC Chou
Analytical biochemistry 497, 60-67, 2016
Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
X Yang, J Yang, C Wu, D Yu
Information Sciences 178 (4), 1219-1234, 2008
Dominance-based rough set approach to incomplete interval-valued information system
X Yang, D Yu, J Yang, L Wei
Data & Knowledge Engineering 68 (11), 1331-1347, 2009
Multi-label learning with label-specific feature reduction
S Xu, X Yang, H Yu, DJ Yu, J Yang, ECC Tsang
Knowledge-Based Systems 104, 52-61, 2016
ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks
Y Li, J Hu, C Zhang, DJ Yu, Y Zhang
Bioinformatics 35 (22), 4647-4655, 2019
Generalization of soft set theory: from crisp to fuzzy case
X Yang, D Yu, J Yang, C Wu
Fuzzy Information and Engineering: Proceedings of the Second International …, 2007
Designing template-free predictor for targeting protein-ligand binding sites with classifier ensemble and spatial clustering
DJ Yu, J Hu, J Yang, HB Shen, J Tang, JY Yang
IEEE/ACM transactions on computational biology and bioinformatics 10 (4 …, 2013
Protein–protein interaction sites prediction by ensembling SVM and sample-weighted random forests
ZS Wei, K Han, JY Yang, HB Shen, DJ Yu
Neurocomputing 193, 201-212, 2016
Ensembling multiple raw coevolutionary features with deep residual neural networks for contact‐map prediction in CASP13
Y Li, C Zhang, EW Bell, DJ Yu, Y Zhang
Proteins: Structure, Function, and Bioinformatics 87 (12), 1082-1091, 2019
An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments
Y Xu, J Yang, J Lu, D Yu
Pattern Recognition 37 (10), 2091-2094, 2004
Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling
DJ Yu, J Hu, ZM Tang, HB Shen, J Yang, JY Yang
Neurocomputing 104, 180-190, 2013
Least squares twin bounded support vector machines based on L1-norm distance metric for classification
H Yan, Q Ye, T Zhang, DJ Yu, X Yuan, Y Xu, L Fu
Pattern recognition 74, 434-447, 2018
α-Dominance relation and rough sets in interval-valued information systems
X Yang, Y Qi, DJ Yu, H Yu, J Yang
Information Sciences 294, 334-347, 2015
Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks
Y Li, C Zhang, EW Bell, W Zheng, X Zhou, DJ Yu, Y Zhang
PLoS computational biology 17 (3), e1008865, 2021
TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine
GQ Li, Z Liu, HB Shen, DJ Yu
IEEE transactions on nanobioscience 15 (7), 674-682, 2016
Predicting protein-DNA binding residues by weightedly combining sequence-based features and boosting multiple SVMs
J Hu, Y Li, M Zhang, X Yang, HB Shen, DJ Yu
IEEE/ACM transactions on computational biology and bioinformatics 14 (6 …, 2016
TargetATPsite: A template‐free method for ATP‐binding sites prediction with residue evolution image sparse representation and classifier ensemble
DJ Yu, J Hu, Y Huang, HB Shen, Y Qi, ZM Tang, JY Yang
Journal of computational chemistry 34 (11), 974-985, 2013
Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides
J Xu, F Li, A Leier, D Xiang, HH Shen, TT Marquez Lago, J Li, DJ Yu, ...
Briefings in bioinformatics 22 (5), bbab083, 2021
LS-align: an atom-level, flexible ligand structural alignment algorithm for high-throughput virtual screening
J Hu, Z Liu, DJ Yu, Y Zhang
Bioinformatics 34 (13), 2209-2218, 2018
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