Jun Wang
Jun Wang
Professor, Joint SDU-NTU Centre for Artificial Intelligence Research, Shandong University
Verified email at sdu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Matrix factorization-based data fusion for the prediction of lncRNA–disease associations
G Fu, J Wang, C Domeniconi, G Yu
Bioinformatics 34 (9), 1529-1537, 2018
532018
Multi-scale Agent-based Modeling on melanoma and its related angiogenesis analysis
J Wang, L Zhang, C Jing, G Ye, H Wu, H Miao, Y Wu, X Zhou
Theoretical Biology and Medical Modelling 10, 41, 2013
482013
BRWLDA: bi-random walks for predicting lncRNA-disease associations
G Yu, G Fu, C Lu, Y Ren, J Wang
Oncotarget 8 (36), 60429, 2017
332017
Protein-Protein Interactions Prediction based on Ensemble Deep Neural Networks
L Zhang, G Yu, D Xia, J Wang
Neurocomputing 324, 10-19, 2019
302019
Predicting protein function via semantic integration of multiple networks
G Yu, G Fu, J Wang, H Zhu
IEEE/ACM Transactions on Computational Biology and Bioinformatics 13 (2 …, 2015
302015
NegGOA: negative GO annotations selection using ontology structure
G Fu, J Wang, B Yang, G Yu
Bioinformatics 32 (19), 2996-3004, 2016
272016
Incomplete multi-view weak-label learning.
Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang
IJCAI, 2703-2709, 2018
242018
Clustering cancer gene expression data by projective clustering ensemble
X Yu, G Yu, J Wang
PloS one 12 (2), e0171429, 2017
242017
NewGOA: Predicting new GO annotations of proteins by bi-random walks on a hybrid graph
G Yu, G Fu, J Wang, Y Zhao
IEEE/ACM transactions on computational biology and bioinformatics 15 (4 …, 2017
202017
Semi-supervised multi-label classification using incomplete label information
Q Tan, Y Yu, G Yu, J Wang
Neurocomputing 260, 192-202, 2017
192017
Multi-label co-training
Y Xing, G Yu, C Domeniconi, J Wang, Z Zhang
Proceedings of the 27th International Joint Conference on Artificial …, 2018
162018
Protein-protein interactions prediction using a novel local conjoint triad descriptor of amino acid sequences
J Wang, L Zhang, L Jia, Y Ren, G Yu
International Journal of Molecular Sciences 18 (11), 2373, 2017
142017
Feature-induced partial multi-label learning
G Yu, X Chen, C Domeniconi, J Wang, Z Li, Z Zhang, X Wu
2018 IEEE International Conference on Data Mining (ICDM), 1398-1403, 2018
132018
Interspecies gene function prediction using semantic similarity
G Yu, W Luo, G Fu, J Wang
BMC systems biology 10 (4), 121, 2016
122016
Mining SNPs from EST sequences using filters and ensemble classifiers
J Wang, Q Zou, MZ Guo
Genet Mol Res 9 (2), 820-834, 2010
122010
BMC3C: binning metagenomic contigs using codon usage, sequence composition and read coverage
G Yu, Y Jiang, J Wang, H Zhang, H Luo
Bioinformatics 34 (24), 4172-4179, 2018
112018
Weighted matrix factorization based data fusion for predicting lncRNA-disease associations
G Yu, Y Wang, J Wang, G Fu, M Guo, C Domeniconi
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
102018
HashGO: hashing gene ontology for protein function prediction
G Yu, Y Zhao, C Lu, J Wang
Computational biology and chemistry 71, 264-273, 2017
102017
Network-aided Bi-Clustering for discovering cancer subtypes
G Yu, X Yu, J Wang
Scientific reports 7 (1), 1-15, 2017
102017
Semi-supervised multi-label dimensionality reduction based on dependence maximization
Y Yu, J Wang, Q Tan, L Jia, G Yu
IEEE access 5, 21927-21940, 2017
92017
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