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For: Niu YW, Wang GH, Yan GY, Chen X. Integrating random walk and binary regression to identify novel miRNA-disease association. BMC Bioinformatics 2019;20:59. [PMID: 30691413 DOI: 10.1186/s12859-019-2640-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 01/18/2019] [Indexed: 02/07/2023]  Open
Number Cited by Other Article(s)
1
Yao HB, Hou ZJ, Zhang WG, Li H, Chen Y. Prediction of MicroRNA-Disease Potential Association Based on Sparse Learning and Multilayer Random Walks. J Comput Biol 2024;31:241-256. [PMID: 38377572 DOI: 10.1089/cmb.2023.0266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]  Open
2
Wang S, Li Y, Zhang Y, Pang S, Qiao S, Zhang Y, Wang F. Generative Adversarial Matrix Completion Network based on Multi-Source Data Fusion for miRNA-Disease Associations Prediction. Brief Bioinform 2023;24:bbad270. [PMID: 37482409 DOI: 10.1093/bib/bbad270] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 06/16/2023] [Accepted: 07/04/2023] [Indexed: 07/25/2023]  Open
3
Gu C, Li X. Prediction of disease-related miRNAs by voting with multiple classifiers. BMC Bioinformatics 2023;24:177. [PMID: 37122001 PMCID: PMC10150488 DOI: 10.1186/s12859-023-05308-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 04/26/2023] [Indexed: 05/02/2023]  Open
4
Le DH. A network-based method for predicting disease-associated enhancers. PLoS One 2021;16:e0260432. [PMID: 34879086 PMCID: PMC8654176 DOI: 10.1371/journal.pone.0260432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 11/09/2021] [Indexed: 11/18/2022]  Open
5
Pang S, Zhuang Y, Wang X, Wang F, Qiao S. EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network. BMC Med Inform Decis Mak 2021;21:319. [PMID: 34789236 PMCID: PMC8597227 DOI: 10.1186/s12911-021-01671-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 10/29/2021] [Indexed: 11/10/2022]  Open
6
Nguyen VT, Le TTK, Than K, Tran DH. Predicting miRNA-disease associations using improved random walk with restart and integrating multiple similarities. Sci Rep 2021;11:21071. [PMID: 34702958 PMCID: PMC8548500 DOI: 10.1038/s41598-021-00677-w] [Citation(s) in RCA: 2] [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: 08/13/2021] [Accepted: 10/15/2021] [Indexed: 12/20/2022]  Open
7
Shen F, Cai W, Gan X, Feng J, Chen Z, Guo M, Wei F, Cao J, Xu B. Prediction of Genetic Factors of Hyperthyroidism Based on Gene Interaction Network. Front Cell Dev Biol 2021;9:700355. [PMID: 34409035 PMCID: PMC8365469 DOI: 10.3389/fcell.2021.700355] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 06/02/2021] [Indexed: 12/25/2022]  Open
8
Pelia R, Venkateswaran S, Matthews JD, Haberman Y, Cutler DJ, Hyams JS, Denson LA, Kugathasan S. Profiling non-coding RNA levels with clinical classifiers in pediatric Crohn's disease. BMC Med Genomics 2021;14:194. [PMID: 34325702 PMCID: PMC8323253 DOI: 10.1186/s12920-021-01041-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 07/22/2021] [Indexed: 12/13/2022]  Open
9
Dai Q, Chu Y, Li Z, Zhao Y, Mao X, Wang Y, Xiong Y, Wei DQ. MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information. Comput Biol Med 2021;136:104706. [PMID: 34371319 DOI: 10.1016/j.compbiomed.2021.104706] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/26/2021] [Accepted: 07/26/2021] [Indexed: 01/17/2023]
10
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization. PLoS Comput Biol 2021;17:e1009165. [PMID: 34252084 PMCID: PMC8345837 DOI: 10.1371/journal.pcbi.1009165] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 08/06/2021] [Accepted: 06/08/2021] [Indexed: 11/21/2022]  Open
11
Ding Y, Lei X, Liao B, Wu FX. Predicting miRNA-Disease Associations Based on Multi-View Variational Graph Auto-Encoder with Matrix Factorization. IEEE J Biomed Health Inform 2021;26:446-457. [PMID: 34111017 DOI: 10.1109/jbhi.2021.3088342] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
12
Chu Y, Wang X, Dai Q, Wang Y, Wang Q, Peng S, Wei X, Qiu J, Salahub DR, Xiong Y, Wei DQ. MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph. Brief Bioinform 2021;22:6261915. [PMID: 34009265 DOI: 10.1093/bib/bbab165] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 04/02/2021] [Accepted: 04/08/2021] [Indexed: 11/13/2022]  Open
13
Xiao Y, Xiao Z, Feng X, Chen Z, Kuang L, Wang L. A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairs. BMC Bioinformatics 2020;21:555. [PMID: 33267800 PMCID: PMC7709313 DOI: 10.1186/s12859-020-03906-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 11/25/2020] [Indexed: 12/25/2022]  Open
14
Wang L, Chen Y, Zhang N, Chen W, Zhang Y, Gao R. QIMCMDA: MiRNA-Disease Association Prediction by q-Kernel Information and Matrix Completion. Front Genet 2020;11:594796. [PMID: 33193744 PMCID: PMC7643770 DOI: 10.3389/fgene.2020.594796] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 09/21/2020] [Indexed: 12/27/2022]  Open
15
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: 49] [Impact Index Per Article: 12.3] [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
16
Ding Y, Chen B, Lei X, Liao B, Wu FX. Predicting novel CircRNA-disease associations based on random walk and logistic regression model. Comput Biol Chem 2020;87:107287. [PMID: 32446243 DOI: 10.1016/j.compbiolchem.2020.107287] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 05/09/2020] [Indexed: 12/24/2022]
17
Ding Y, Wang F, Lei X, Liao B, Wu FX. Deep belief network-Based Matrix Factorization Model for MicroRNA-Disease Associations Prediction. Evol Bioinform Online 2020;16:1176934320919707. [PMID: 32523330 PMCID: PMC7235669 DOI: 10.1177/1176934320919707] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Accepted: 03/11/2020] [Indexed: 12/11/2022]  Open
18
Wu M, Yang Y, Wang H, Ding J, Zhu H, Xu Y. IMPMD: An Integrated Method for Predicting Potential Associations Between miRNAs and Diseases. Curr Genomics 2020;20:581-591. [PMID: 32581646 PMCID: PMC7290057 DOI: 10.2174/1389202920666191023090215] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 08/07/2019] [Accepted: 10/16/2019] [Indexed: 01/06/2023]  Open
19
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: 25] [Impact Index Per Article: 5.0] [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
20
Huang Z, Liu L, Gao Y, Shi J, Cui Q, Li J, Zhou Y. Benchmark of computational methods for predicting microRNA-disease associations. Genome Biol 2019;20:202. [PMID: 31594544 PMCID: PMC6781296 DOI: 10.1186/s13059-019-1811-3] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 09/03/2019] [Indexed: 01/06/2023]  Open
21
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: 1.2] [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
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