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For: Mørk S, Pletscher-Frankild S, Palleja Caro A, Gorodkin J, Jensen LJ. Protein-driven inference of miRNA-disease associations. Bioinformatics 2013;30:392-7. [PMID: 24273243 PMCID: PMC3904518 DOI: 10.1093/bioinformatics/btt677] [Citation(s) in RCA: 151] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]  Open
Number Cited by Other Article(s)
51
Ji BY, You ZH, Chen ZH, Wong L, Yi HC. NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information. BMC Bioinformatics 2020;21:401. [PMID: 32912137 PMCID: PMC7646193 DOI: 10.1186/s12859-020-03716-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 08/19/2020] [Indexed: 12/25/2022]  Open
52
Zheng K, You ZH, Wang L, Guo ZH. iMDA-BN: Identification of miRNA-disease associations based on the biological network and graph embedding algorithm. Comput Struct Biotechnol J 2020;18:2391-2400. [PMID: 33005302 PMCID: PMC7508695 DOI: 10.1016/j.csbj.2020.08.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 08/24/2020] [Accepted: 08/26/2020] [Indexed: 11/30/2022]  Open
53
Chen X, Li TH, Zhao Y, Wang CC, Zhu CC. Deep-belief network for predicting potential miRNA-disease associations. Brief Bioinform 2020;22:5898648. [PMID: 34020550 DOI: 10.1093/bib/bbaa186] [Citation(s) in RCA: 112] [Impact Index Per Article: 22.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/09/2020] [Accepted: 07/21/2020] [Indexed: 12/14/2022]  Open
54
Zhu R, Ji C, Wang Y, Cai Y, Wu H. Heterogeneous Graph Convolutional Networks and Matrix Completion for miRNA-Disease Association Prediction. Front Bioeng Biotechnol 2020;8:901. [PMID: 32974293 PMCID: PMC7468400 DOI: 10.3389/fbioe.2020.00901] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 05/13/2020] [Indexed: 01/21/2023]  Open
55
Ding Y, Tian LP, Lei X, Liao B, Wu FX. Variational graph auto-encoders for miRNA-disease association prediction. Methods 2020;192:25-34. [PMID: 32798654 DOI: 10.1016/j.ymeth.2020.08.004] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 08/03/2020] [Accepted: 08/08/2020] [Indexed: 02/07/2023]  Open
56
Zhang D, Liu X, Zhang Q, Chen X. miR-138-5p inhibits the malignant progression of prostate cancer by targeting FOXC1. Cancer Cell Int 2020;20:297. [PMID: 32669973 PMCID: PMC7350594 DOI: 10.1186/s12935-020-01386-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 06/26/2020] [Indexed: 01/22/2023]  Open
57
Zhang W, Yao G, Wang J, Yang M, Wang J, Zhang H, Li W. ncRPheno: a comprehensive database platform for identification and validation of disease related noncoding RNAs. RNA Biol 2020;17:943-955. [PMID: 32122231 PMCID: PMC7549653 DOI: 10.1080/15476286.2020.1737441] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 02/24/2020] [Accepted: 02/25/2020] [Indexed: 12/31/2022]  Open
58
Bai N, Ma Y, Zhao J, Li B. Knockdown of lncRNA HCP5 Suppresses the Progression of Colorectal Cancer by miR-299-3p/PFN1/AKT Axis. Cancer Manag Res 2020;12:4747-4758. [PMID: 32606965 PMCID: PMC7310975 DOI: 10.2147/cmar.s255866] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 06/01/2020] [Indexed: 12/20/2022]  Open
59
FCGCNMDA: predicting miRNA-disease associations by applying fully connected graph convolutional networks. Mol Genet Genomics 2020;295:1197-1209. [DOI: 10.1007/s00438-020-01693-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 05/27/2020] [Indexed: 01/02/2023]
60
Li X, Zhou S, Fan T, Feng X. lncRNA DGCR 5/miR‑27a‑3p/BNIP3 promotes cell apoptosis in pancreatic cancer by regulating the p38 MAPK pathway. Int J Mol Med 2020;46:729-739. [PMID: 32626951 PMCID: PMC7307863 DOI: 10.3892/ijmm.2020.4632] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 04/14/2020] [Indexed: 12/13/2022]  Open
61
Piran M, Karbalaei R, Piran M, Aldahdooh J, Mirzaie M, Ansari-Pour N, Tang J, Jafari M. Can We Assume the Gene Expression Profile as a Proxy for Signaling Network Activity? Biomolecules 2020;10:biom10060850. [PMID: 32503292 PMCID: PMC7355924 DOI: 10.3390/biom10060850] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 05/30/2020] [Accepted: 05/31/2020] [Indexed: 12/17/2022]  Open
62
Zhu X, Wang X, Zhao H, Pei T, Kuang L, Wang L. BHCMDA: A New Biased Heat Conduction Based Method for Potential MiRNA-Disease Association Prediction. Front Genet 2020;11:384. [PMID: 32425979 PMCID: PMC7212362 DOI: 10.3389/fgene.2020.00384] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Accepted: 03/27/2020] [Indexed: 01/04/2023]  Open
63
Ha J, Park C, Park C, Park S. Improved Prediction of miRNA-Disease Associations Based on Matrix Completion with Network Regularization. Cells 2020;9:cells9040881. [PMID: 32260218 PMCID: PMC7226829 DOI: 10.3390/cells9040881] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 12/30/2019] [Accepted: 04/01/2020] [Indexed: 12/12/2022]  Open
64
Gao Z, Wang YT, Wu QW, Ni JC, Zheng CH. Graph regularized L2,1-nonnegative matrix factorization for miRNA-disease association prediction. BMC Bioinformatics 2020;21:61. [PMID: 32070280 PMCID: PMC7029547 DOI: 10.1186/s12859-020-3409-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 02/11/2020] [Indexed: 01/24/2023]  Open
65
Peng LH, Zhou LQ, Chen X, Piao X. A Computational Study of Potential miRNA-Disease Association Inference Based on Ensemble Learning and Kernel Ridge Regression. Front Bioeng Biotechnol 2020;8:40. [PMID: 32117922 PMCID: PMC7015868 DOI: 10.3389/fbioe.2020.00040] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 01/17/2020] [Indexed: 12/11/2022]  Open
66
Ha J, Park C, Park C, Park S. IMIPMF: Inferring miRNA-disease interactions using probabilistic matrix factorization. J Biomed Inform 2020;102:103358. [DOI: 10.1016/j.jbi.2019.103358] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 11/11/2019] [Accepted: 12/12/2019] [Indexed: 12/09/2022]
67
Peng L, Liu F, Yang J, Liu X, Meng Y, Deng X, Peng C, Tian G, Zhou L. Probing lncRNA-Protein Interactions: Data Repositories, Models, and Algorithms. Front Genet 2020;10:1346. [PMID: 32082358 PMCID: PMC7005249 DOI: 10.3389/fgene.2019.01346] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/09/2019] [Indexed: 12/31/2022]  Open
68
Chen X, Sun LG, Zhao Y. NCMCMDA: miRNA-disease association prediction through neighborhood constraint matrix completion. Brief Bioinform 2020;22:485-496. [PMID: 31927572 DOI: 10.1093/bib/bbz159] [Citation(s) in RCA: 139] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 11/01/2019] [Accepted: 11/11/2019] [Indexed: 12/13/2022]  Open
69
Potential miRNA-disease association prediction based on kernelized Bayesian matrix factorization. Genomics 2020;112:809-819. [DOI: 10.1016/j.ygeno.2019.05.021] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 05/09/2019] [Accepted: 05/24/2019] [Indexed: 12/19/2022]
70
An improved random forest-based computational model for predicting novel miRNA-disease associations. BMC Bioinformatics 2019;20:624. [PMID: 31795954 PMCID: PMC6889672 DOI: 10.1186/s12859-019-3290-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 11/21/2019] [Indexed: 01/29/2023]  Open
71
Prediction of potential miRNA-disease associations using matrix decomposition and label propagation. Knowl Based Syst 2019. [DOI: 10.1016/j.knosys.2019.104963] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
72
Wang J, Zhang J, Cai Y, Deng L. DeepMiR2GO: Inferring Functions of Human MicroRNAs Using a Deep Multi-Label Classification Model. Int J Mol Sci 2019;20:E6046. [PMID: 31801264 PMCID: PMC6928926 DOI: 10.3390/ijms20236046] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Revised: 11/25/2019] [Accepted: 11/26/2019] [Indexed: 01/08/2023]  Open
73
Guan NN, Wang CC, Zhang L, Huang L, Li JQ, Piao X. In silico prediction of potential miRNA-disease association using an integrative bioinformatics approach based on kernel fusion. J Cell Mol Med 2019;24:573-587. [PMID: 31747722 PMCID: PMC6933403 DOI: 10.1111/jcmm.14765] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 08/13/2019] [Accepted: 09/20/2019] [Indexed: 12/18/2022]  Open
74
Pan X, Shen HB. Inferring Disease-Associated MicroRNAs Using Semi-supervised Multi-Label Graph Convolutional Networks. iScience 2019;20:265-277. [PMID: 31605942 PMCID: PMC6817654 DOI: 10.1016/j.isci.2019.09.013] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 09/05/2019] [Accepted: 09/11/2019] [Indexed: 01/22/2023]  Open
75
Chen X, Xie D, Wang L, Zhao Q, You ZH, Liu H. BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction. Bioinformatics 2019;34:3178-3186. [PMID: 29701758 DOI: 10.1093/bioinformatics/bty333] [Citation(s) in RCA: 235] [Impact Index Per Article: 39.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2017] [Accepted: 04/24/2018] [Indexed: 12/16/2022]  Open
76
Chen X, Wang L, Qu J, Guan NN, Li JQ. Predicting miRNA-disease association based on inductive matrix completion. Bioinformatics 2019;34:4256-4265. [PMID: 29939227 DOI: 10.1093/bioinformatics/bty503] [Citation(s) in RCA: 273] [Impact Index Per Article: 45.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Accepted: 06/20/2018] [Indexed: 12/17/2022]  Open
77
Zhang L, Chen X, Yin J. Prediction of Potential miRNA-Disease Associations Through a Novel Unsupervised Deep Learning Framework with Variational Autoencoder. Cells 2019;8:cells8091040. [PMID: 31489920 PMCID: PMC6770222 DOI: 10.3390/cells8091040] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Revised: 08/31/2019] [Accepted: 09/02/2019] [Indexed: 12/22/2022]  Open
78
Chen Q, Zhao Z, Lan W, Zhang R, Liang J. Predicting miRNA-disease interaction based on recommend method. INFORMATION DISCOVERY AND DELIVERY 2019. [DOI: 10.1108/idd-04-2019-0026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
79
Chen X, Xie D, Zhao Q, You ZH. MicroRNAs and complex diseases: from experimental results to computational models. Brief Bioinform 2019;20:515-539. [PMID: 29045685 DOI: 10.1093/bib/bbx130] [Citation(s) in RCA: 427] [Impact Index Per Article: 71.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 08/13/2017] [Indexed: 12/22/2022]  Open
80
Wiczling P, Daghir-Wojtkowiak E, Kaliszan R, Markuszewski MJ, Limon J, Koczkowska M, Stukan M, Kuźniacka A, Ratajska M. Bayesian multilevel model of micro RNA levels in ovarian-cancer and healthy subjects. PLoS One 2019;14:e0221764. [PMID: 31465488 PMCID: PMC6715278 DOI: 10.1371/journal.pone.0221764] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 08/14/2019] [Indexed: 12/31/2022]  Open
81
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity. QUANTITATIVE BIOLOGY 2019. [DOI: 10.1007/s40484-019-0176-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
82
Zheng K, You ZH, Wang L, Zhou Y, Li LP, Li ZW. MLMDA: a machine learning approach to predict and validate MicroRNA-disease associations by integrating of heterogenous information sources. J Transl Med 2019;17:260. [PMID: 31395072 PMCID: PMC6688360 DOI: 10.1186/s12967-019-2009-x] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 07/31/2019] [Indexed: 02/01/2023]  Open
83
Chen H, Zhang Z, Feng D. Prediction and interpretation of miRNA-disease associations based on miRNA target genes using canonical correlation analysis. BMC Bioinformatics 2019;20:404. [PMID: 31345171 PMCID: PMC6657378 DOI: 10.1186/s12859-019-2998-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Accepted: 07/16/2019] [Indexed: 11/12/2022]  Open
84
Ensemble of decision tree reveals potential miRNA-disease associations. PLoS Comput Biol 2019;15:e1007209. [PMID: 31329575 PMCID: PMC6675125 DOI: 10.1371/journal.pcbi.1007209] [Citation(s) in RCA: 149] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 08/01/2019] [Accepted: 06/24/2019] [Indexed: 12/14/2022]  Open
85
Huang J, Li X, Liu P, Wang J, Li H. Retracted: Emodin protects H9c2 cells against hypoxia-induced injury via regulation of miR-26a/survivin and the JAK1/STAT3 pathway. J Cell Biochem 2019;120:11081-11090. [PMID: 30701574 DOI: 10.1002/jcb.28385] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 01/10/2019] [Indexed: 02/02/2023]
86
Yan F, Zheng Y, Jia W, Hou S, Xiao R. MAMDA: Inferring microRNA-Disease associations with manifold alignment. Comput Biol Med 2019;110:156-163. [DOI: 10.1016/j.compbiomed.2019.05.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 05/17/2019] [Accepted: 05/17/2019] [Indexed: 01/13/2023]
87
Gao YL, Cui Z, Liu JX, Wang J, Zheng CH. NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations. BMC Bioinformatics 2019;20:353. [PMID: 31234797 PMCID: PMC6591872 DOI: 10.1186/s12859-019-2956-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 06/17/2019] [Indexed: 01/01/2023]  Open
88
Tang C, Zhou H, Zheng X, Zhang Y, Sha X. Dual Laplacian regularized matrix completion for microRNA-disease associations prediction. RNA Biol 2019;16:601-611. [PMID: 30676207 PMCID: PMC6546388 DOI: 10.1080/15476286.2019.1570811] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Revised: 11/30/2018] [Accepted: 01/03/2019] [Indexed: 01/21/2023]  Open
89
Zhao Y, Chen X, Yin J. Adaptive boosting-based computational model for predicting potential miRNA-disease associations. Bioinformatics 2019;35:4730-4738. [DOI: 10.1093/bioinformatics/btz297] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 03/19/2019] [Accepted: 04/18/2019] [Indexed: 12/24/2022]  Open
90
FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs. BMC SYSTEMS BIOLOGY 2019;13:26. [PMID: 30953512 PMCID: PMC6449885 DOI: 10.1186/s12918-019-0696-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
91
Wang L, You ZH, Chen X, Li YM, Dong YN, Li LP, Zheng K. LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities. PLoS Comput Biol 2019;15:e1006865. [PMID: 30917115 PMCID: PMC6464243 DOI: 10.1371/journal.pcbi.1006865] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Revised: 04/15/2019] [Accepted: 02/13/2019] [Indexed: 11/18/2022]  Open
92
Integrating random walk and binary regression to identify novel miRNA-disease association. BMC Bioinformatics 2019;20:59. [PMID: 30691413 PMCID: PMC6350368 DOI: 10.1186/s12859-019-2640-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 01/18/2019] [Indexed: 02/07/2023]  Open
93
Che K, Guo M, Wang C, Liu X, Chen X. Predicting MiRNA-Disease Association by Latent Feature Extraction with Positive Samples. Genes (Basel) 2019;10:genes10020080. [PMID: 30682853 PMCID: PMC6410147 DOI: 10.3390/genes10020080] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 01/18/2019] [Accepted: 01/18/2019] [Indexed: 11/16/2022]  Open
94
Sun Y, Zhu Z, You ZH, Zeng Z, Huang ZA, Huang YA. FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases. BMC SYSTEMS BIOLOGY 2018;12:121. [PMID: 30598090 PMCID: PMC6311922 DOI: 10.1186/s12918-018-0664-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
95
Jiang L, Xiao Y, Ding Y, Tang J, Guo F. FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association. BMC Genomics 2018;19:911. [PMID: 30598109 PMCID: PMC6311941 DOI: 10.1186/s12864-018-5273-x] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]  Open
96
Liang C, Yu S, Wong KC, Luo J. A novel semi-supervised model for miRNA-disease association prediction based on 1 -norm graph. J Transl Med 2018;16:357. [PMID: 30547813 PMCID: PMC6295065 DOI: 10.1186/s12967-018-1741-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Accepted: 12/10/2018] [Indexed: 01/29/2023]  Open
97
Chen X, Zhang DH, You ZH. A heterogeneous label propagation approach to explore the potential associations between miRNA and disease. J Transl Med 2018;16:348. [PMID: 30537965 PMCID: PMC6290528 DOI: 10.1186/s12967-018-1722-1] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Accepted: 12/04/2018] [Indexed: 02/06/2023]  Open
98
Chen X, Wang CC, Yin J, You ZH. Novel Human miRNA-Disease Association Inference Based on Random Forest. MOLECULAR THERAPY. NUCLEIC ACIDS 2018;13:568-579. [PMID: 30439645 PMCID: PMC6234518 DOI: 10.1016/j.omtn.2018.10.005] [Citation(s) in RCA: 92] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 07/30/2018] [Accepted: 10/05/2018] [Indexed: 01/23/2023]
99
Huang Z, Li N, Shan Y, Liang C. Hsa-miRNA-29a protects against high glucose-induced damage in human umbilical vein endothelial cells. J Cell Biochem 2018;120:5860-5868. [PMID: 30520097 DOI: 10.1002/jcb.27871] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 09/19/2018] [Indexed: 12/30/2022]
100
Yu SP, Liang C, Xiao Q, Li GH, Ding PJ, Luo JW. MCLPMDA: A novel method for miRNA-disease association prediction based on matrix completion and label propagation. J Cell Mol Med 2018;23:1427-1438. [PMID: 30499204 PMCID: PMC6349206 DOI: 10.1111/jcmm.14048] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 11/02/2018] [Indexed: 12/20/2022]  Open
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