251 related articles for article (PubMed ID: 27542179)
21. HNMDA: heterogeneous network-based miRNA-disease association prediction.
Peng LH; Sun CN; Guan NN; Li JQ; Chen X
Mol Genet Genomics; 2018 Aug; 293(4):983-995. PubMed ID: 29687157
[TBL] [Abstract][Full Text] [Related]
22. Maximal entropy random walk on heterogenous network for MIRNA-disease Association prediction.
Niu YW; Liu H; Wang GH; Yan GY
Math Biosci; 2018 Dec; 306():1-9. PubMed ID: 30336146
[TBL] [Abstract][Full Text] [Related]
23. Prediction of disease-related microRNAs by incorporating functional similarity and common association information.
Han K; Xuan P; Ding J; Zhao ZJ; Hui L; Zhong YL
Genet Mol Res; 2014 Mar; 13(1):2009-19. PubMed ID: 24737426
[TBL] [Abstract][Full Text] [Related]
24. Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting Edges.
Xuan P; Li L; Zhang T; Zhang Y; Song Y
Molecules; 2019 Aug; 24(17):. PubMed ID: 31455026
[TBL] [Abstract][Full Text] [Related]
25. A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations.
Zhang W; Li Z; Guo W; Yang W; Huang F
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):405-415. PubMed ID: 31369383
[TBL] [Abstract][Full Text] [Related]
26. NDAMDA: Network distance analysis for MiRNA-disease association prediction.
Chen X; Wang LY; Huang L
J Cell Mol Med; 2018 May; 22(5):2884-2895. PubMed ID: 29532987
[TBL] [Abstract][Full Text] [Related]
27. In silico prediction of potential miRNA-disease association using an integrative bioinformatics approach based on kernel fusion.
Guan NN; Wang CC; Zhang L; Huang L; Li JQ; Piao X
J Cell Mol Med; 2020 Jan; 24(1):573-587. PubMed ID: 31747722
[TBL] [Abstract][Full Text] [Related]
28. A novel computational model based on super-disease and miRNA for potential miRNA-disease association prediction.
Chen X; Jiang ZC; Xie D; Huang DS; Zhao Q; Yan GY; You ZH
Mol Biosyst; 2017 May; 13(6):1202-1212. PubMed ID: 28470244
[TBL] [Abstract][Full Text] [Related]
29. MCMDA: Matrix completion for MiRNA-disease association prediction.
Li JQ; Rong ZH; Chen X; Yan GY; You ZH
Oncotarget; 2017 Mar; 8(13):21187-21199. PubMed ID: 28177900
[TBL] [Abstract][Full Text] [Related]
30. MicroRNAs and complex diseases: from experimental results to computational models.
Chen X; Xie D; Zhao Q; You ZH
Brief Bioinform; 2019 Mar; 20(2):515-539. PubMed ID: 29045685
[TBL] [Abstract][Full Text] [Related]
31. PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.
You ZH; Huang ZA; Zhu Z; Yan GY; Li ZW; Wen Z; Chen X
PLoS Comput Biol; 2017 Mar; 13(3):e1005455. PubMed ID: 28339468
[TBL] [Abstract][Full Text] [Related]
32. MRWMDA: A novel framework to infer miRNA-disease associations.
Wang M; Zhu P
Biosystems; 2021 Jan; 199():104292. PubMed ID: 33221377
[TBL] [Abstract][Full Text] [Related]
33. Prediction of potential disease-associated microRNAs by composite network based inference.
He BS; Qu J; Chen M
Sci Rep; 2018 Oct; 8(1):15813. PubMed ID: 30361693
[TBL] [Abstract][Full Text] [Related]
34. Prediction of potential disease-associated microRNAs using structural perturbation method.
Zeng X; Liu L; Lü L; Zou Q
Bioinformatics; 2018 Jul; 34(14):2425-2432. PubMed ID: 29490018
[TBL] [Abstract][Full Text] [Related]
35. A novel method for identifying potential disease-related miRNAs via a disease-miRNA-target heterogeneous network.
Ding L; Wang M; Sun D; Li A
Mol Biosyst; 2017 Oct; 13(11):2328-2337. PubMed ID: 28920619
[TBL] [Abstract][Full Text] [Related]
36. DNRLMF-MDA:Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases.
Yan C; Wang J; Ni P; Lan W; Wu FX; Pan Y
IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(1):233-243. PubMed ID: 29990253
[TBL] [Abstract][Full Text] [Related]
37. LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction.
Chen X; Huang L
PLoS Comput Biol; 2017 Dec; 13(12):e1005912. PubMed ID: 29253885
[TBL] [Abstract][Full Text] [Related]
38. HAMDA: Hybrid Approach for MiRNA-Disease Association prediction.
Chen X; Niu YW; Wang GH; Yan GY
J Biomed Inform; 2017 Dec; 76():50-58. PubMed ID: 29097278
[TBL] [Abstract][Full Text] [Related]
39. RBMMMDA: predicting multiple types of disease-microRNA associations.
Chen X; Yan CC; Zhang X; Li Z; Deng L; Zhang Y; Dai Q
Sci Rep; 2015 Sep; 5():13877. PubMed ID: 26347258
[TBL] [Abstract][Full Text] [Related]
40. Prioritizing candidate disease-related long non-coding RNAs by walking on the heterogeneous lncRNA and disease network.
Zhou M; Wang X; Li J; Hao D; Wang Z; Shi H; Han L; Zhou H; Sun J
Mol Biosyst; 2015 Mar; 11(3):760-9. PubMed ID: 25502053
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
