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Cheng Liang(梁成)
Cheng Liang(梁成)
Associate Professor of Computer Science, Shandong Normal University
在 sdnu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations
Q Xiao, J Luo, C Liang, J Cai, P Ding
Bioinformatics 34 (2), 239-248, 2018
2482018
Correlation of gut microbiome between ASD children and mothers and potential biomarkers for risk assessment
N Li, J Yang, J Zhang, C Liang, Y Wang, B Chen, C Zhao, J Wang, ...
Genomics, Proteomics and Bioinformatics 17 (1), 26-38, 2019
1262019
Dysbiosis of the gut microbiome is associated with thyroid cancer and thyroid nodules and correlated with clinical index of thyroid function
J Zhang, F Zhang, C Zhao, Q Xu, C Liang, Y Yang, H Wang, Y Shang, ...
Endocrine 64, 564-574, 2019
1202019
Dysbiosis of the salivary microbiome is associated with non-smoking female lung cancer and correlated with immunocytochemistry markers
J Yang, X Mu, Y Wang, D Zhu, J Zhang, C Liang, B Chen, J Wang, C Zhao, ...
Frontiers in oncology 8, 520, 2018
932018
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion
Y Li, C Liang, KC Wong, J Luo, Z Zhang
Bioinformatics 30 (18), 2627-2635, 2014
912014
A novel method to detect functional microRNA regulatory modules by bicliques merging
C Liang, Y Li, J Luo
IEEE/ACM transactions on computational biology and bioinformatics 13 (3 …, 2015
822015
Response of gut microbiota in type 2 diabetes to hypoglycemic agents
F Zhang, M Wang, J Yang, Q Xu, C Liang, B Chen, J Zhang, Y Yang, ...
Endocrine 66, 485-493, 2019
792019
Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs
C Liang, S Yu, J Luo
PLoS computational biology 15 (4), e1006931, 2019
792019
Collective prediction of disease-associated miRNAs based on transduction learning
J Luo, P Ding, C Liang, B Cao, X Chen
IEEE/ACM transactions on computational biology and bioinformatics 14 (6 …, 2016
792016
Compositional and functional analysis of the microbiome in tissue and saliva of oral squamous cell carcinoma
Z Zhang, J Yang, Q Feng, B Chen, M Li, C Liang, M Li, Z Li, Q Xu, L Zhang, ...
Frontiers in Microbiology 10, 1439, 2019
702019
Predicting MicroRNA-disease associations using network topological similarity based on DeepWalk
G Li, J Luo, Q Xiao, C Liang, P Ding, B Cao
Ieee Access 5, 24032-24039, 2017
702017
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity
G Li, J Luo, Q Xiao, C Liang, P Ding
Journal of biomedical informatics 82, 169-177, 2018
692018
Comprehensive analysis of competitive endogenous RNAs network associated with head and neck squamous cell carcinoma
XN Fang, M Yin, H Li, C Liang, C Xu, GW Yang, HX Zhang
Scientific Reports 8 (1), 10544, 2018
672018
Predicting MicroRNA-disease associations using Kronecker regularized least squares based on heterogeneous omics data
J Luo, Q Xiao, C Liang, P Ding
Ieee Access 5, 2503-2513, 2017
602017
Multi-view feature selection via nonnegative structured graph learning
X Bai, L Zhu, C Liang, J Li, X Nie, X Chang
Neurocomputing 387, 110-122, 2020
592020
MCLPMDA: A novel method for mi RNAdisease association prediction based on matrix completion and label propagation
SP Yu, C Liang, Q Xiao, GH Li, PJ Ding, JW Luo
Journal of cellular and molecular medicine 23 (2), 1427-1438, 2019
592019
NCPCDA: network consistency projection for circRNA–disease association prediction
G Li, Y Yue, C Liang, Q Xiao, P Ding, J Luo
RSC advances 9 (57), 33222-33228, 2019
562019
Inferring probabilistic miRNA–mRNA interaction signatures in cancers: a role-switch approach
Y Li, C Liang, KC Wong, K Jin, Z Zhang
Nucleic acids research 42 (9), e76-e76, 2014
502014
Prediction of LncRNA-disease associations based on network consistency projection
G Li, J Luo, C Liang, Q Xiao, P Ding, Y Zhang
Ieee Access 7, 58849-58856, 2019
472019
KATZMDA: prediction of miRNA-disease associations based on KATZ model
Y Qu, H Zhang, C Liang, X Dong
Ieee Access 6, 3943-3950, 2017
422017
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