Wei Lan
Wei Lan
Guangxi University
Verified email at gxu.edu.cn
Title
Cited by
Cited by
Year
LDAP: a web server for lncRNA-disease association prediction
W Lan, M Li, K Zhao, J Liu, FX Wu, Y Pan, J Wang
Bioinformatics 33 (3), 458-460, 2017
832017
Classification of Alzheimer's disease using whole brain hierarchical network
J Liu, M Li, W Lan, FX Wu, Y Pan, J Wang
IEEE/ACM transactions on computational biology and bioinformatics 15 (2 …, 2016
732016
Predicting microRNA-disease associations based on improved microRNA and disease similarities
W Lan, J Wang, M Li, J Liu, FX Wu, Y Pan
IEEE/ACM transactions on computational biology and bioinformatics 15 (6 …, 2018
692018
Predicting drug–target interaction using positive-unlabeled learning
W Lan, J Wang, M Li, J Liu, Y Li, FX Wu, Y Pan
Neurocomputing 206, 50-57, 2016
472016
Computational approaches for prioritizing candidate disease genes based on PPI networks
W Lan, J Wang, M Li, W Peng, F Wu
Tsinghua Science and Technology 20 (5), 500-512, 2015
422015
Complex brain network analysis and its applications to brain disorders: a survey
J Liu, M Li, Y Pan, W Lan, R Zheng, FX Wu, J Wang
Complexity 2017, 2017
402017
DNRLMF-MDA: predicting microRNA-disease associations based on similarities of microRNAs and diseases
C Yan, J Wang, P Ni, W Lan, FX Wu, Y Pan
IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2017
222017
Mining featured patterns of MiRNA interaction based on sequence and structure similarity
Q Chen, W Lan, J Wang
IEEE/ACM transactions on computational biology and bioinformatics 10 (2 …, 2013
172013
Predicting microRNA-disease associations by integrating multiple biological information
W Lan, J Wang, M Li, J Liu, Y Pan
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
162015
A framework for integrating multiple biological networks to predict MicroRNA-disease associations
W Peng, W Lan, Z Yu, J Wang, Y Pan
IEEE transactions on nanobioscience 16 (2), 100-107, 2016
142016
A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networks
W Peng, W Lan, J Zhong, J Wang, Y Pan
Methods 124, 69-77, 2017
132017
ILDMSF: inferring associations between long non-coding RNA and disease based on multi-similarity fusion
Q Chen, D Lai, W Lan, X Wu, B Chen, YPP Chen, J Wang
IEEE/ACM transactions on computational biology and bioinformatics, 2019
112019
Identifying interactions between long noncoding RNAs and diseases based on computational methods
W Lan, L Huang, D Lai, Q Chen
Computational Systems Biology, 205-221, 2018
102018
Identification of important positions within miRNAs by integrating sequential and structural features
W Lan, Q Chen, T Li, C Yuan, S Mann, B Chen
Current Protein and Peptide Science 15 (6), 591-597, 2014
102014
Sdtrls: Predicting drug-target interactions for complex diseases based on chemical substructures
C Yan, J Wang, W Lan, FX Wu, Y Pan
Complexity 2017, 2017
92017
miRTRS: a recommendation algorithm for predicting miRNA targets
H Jiang, J Wang, M Li, W Lan, F Wu, Y Pan
IEEE/ACM transactions on computational biology and bioinformatics, 2018
72018
Inferring microRNA-environmental factor interactions based on multiple biological information fusion
H Luo, W Lan, Q Chen, Z Wang, Z Liu, X Yue, L Zhu
Molecules 23 (10), 2439, 2018
72018
Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning
W Lan, J Wang, M Li, C Lu, FX Wu, Y Pan
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
42016
Identifying interactions between kinases and substrates based on protein–protein interaction network
Q Chen, C Deng, W Lan, Z Liu, R Zheng, J Liu, J Wang
Journal of Computational Biology 26 (8), 836-845, 2019
32019
Inferring LncRNA-disease Associations Based On Graph Autoencoder Matrix Completion
X Wu, W Lan, Q Chen, Y Dong, J Liu, W Peng
Computational Biology and Chemistry, 107282, 2020
12020
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