Jun Wang
Jun Wang
Professor, Joint SDU-NTU Centre for Artificial Intelligence Research, Shandong University
Verified email at sdu.edu.cn - Homepage
Cited by
Cited by
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
Protein-Protein Interactions Prediction based on Ensemble Deep Neural Networks
L Zhang, G Yu, D Xia, J Wang
Neurocomputing 324, 10-19, 2019
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
BRWLDA: bi-random walks for predicting lncRNA-disease associations
G Yu, G Fu, C Lu, Y Ren, J Wang
Oncotarget 8 (36), 60429, 2017
Incomplete multi-view weak-label learning.
Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang
IJCAI, 2703-2709, 2018
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
NegGOA: negative GO annotations selection using ontology structure
G Fu, J Wang, B Yang, G Yu
Bioinformatics 32 (19), 2996-3004, 2016
Multi-label co-training
Y Xing, G Yu, C Domeniconi, J Wang, Z Zhang
Proceedings of the 27th International Joint Conference on Artificial …, 2018
Clustering cancer gene expression data by projective clustering ensemble
X Yu, G Yu, J Wang
PloS one 12 (2), e0171429, 2017
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
Semi-supervised multi-label classification using incomplete label information
Q Tan, Y Yu, G Yu, J Wang
Neurocomputing 260, 192-202, 2017
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
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
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
Gene function prediction based on gene ontology hierarchy preserving hashing
Y Zhao, G Fu, J Wang, M Guo, G Yu
Genomics 111 (3), 334-342, 2019
HiSeeker: detecting high-order SNP interactions based on pairwise SNP combinations
J Liu, G Yu, Y Jiang, J Wang
Genes 8 (6), 153, 2017
Interspecies gene function prediction using semantic similarity
G Yu, W Luo, G Fu, J Wang
BMC systems biology 10 (4), 495-507, 2016
Multi-view multi-instance multi-label learning based on collaborative matrix factorization
Y Xing, G Yu, C Domeniconi, J Wang, Z Zhang, M Guo
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5508-5515, 2019
Isoform function prediction based on bi-random walks on a heterogeneous network
G Yu, K Wang, C Domeniconi, M Guo, J Wang
Bioinformatics 36 (1), 303-310, 2020
Predicting protein-protein interactions using high-quality non-interacting pairs
L Zhang, G Yu, M Guo, J Wang
BMC Bioinformatics 19 (S19), 525, 2018
The system can't perform the operation now. Try again later.
Articles 1–20