493 related articles for article (PubMed ID: 22875290)
1. RWRMDA: predicting novel human microRNA-disease associations.
Chen X; Liu MX; Yan GY
Mol Biosyst; 2012 Oct; 8(10):2792-8. PubMed ID: 22875290
[TBL] [Abstract][Full Text] [Related]
2. NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information.
Ji BY; You ZH; Chen ZH; Wong L; Yi HC
BMC Bioinformatics; 2020 Sep; 21(1):401. PubMed ID: 32912137
[TBL] [Abstract][Full Text] [Related]
3. Uncover miRNA-Disease Association by Exploiting Global Network Similarity.
Chen M; Lu X; Liao B; Li Z; Cai L; Gu C
PLoS One; 2016; 11(12):e0166509. PubMed ID: 27907011
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model.
Ji BY; You ZH; Cheng L; Zhou JR; Alghazzawi D; Li LP
Sci Rep; 2020 Apr; 10(1):6658. PubMed ID: 32313121
[TBL] [Abstract][Full Text] [Related]
6. Identifying human microRNA-disease associations by a new diffusion-based method.
Liao B; Ding S; Chen H; Li Z; Cai L
J Bioinform Comput Biol; 2015 Aug; 13(4):1550014. PubMed ID: 26004789
[TBL] [Abstract][Full Text] [Related]
7. Semi-supervised learning for potential human microRNA-disease associations inference.
Chen X; Yan GY
Sci Rep; 2014 Jun; 4():5501. PubMed ID: 24975600
[TBL] [Abstract][Full Text] [Related]
8. MicroRNA expression profiling in cancer from a bioinformatics prospective.
Gusev Y; Brackett DJ
Expert Rev Mol Diagn; 2007 Nov; 7(6):787-92. PubMed ID: 18020908
[TBL] [Abstract][Full Text] [Related]
9. An improved random forest-based computational model for predicting novel miRNA-disease associations.
Yao D; Zhan X; Kwoh CK
BMC Bioinformatics; 2019 Dec; 20(1):624. PubMed ID: 31795954
[TBL] [Abstract][Full Text] [Related]
10. A Novel Neighborhood-Based Computational Model for Potential MiRNA-Disease Association Prediction.
Liu Y; Li X; Feng X; Wang L
Comput Math Methods Med; 2019; 2019():5145646. PubMed ID: 30800172
[TBL] [Abstract][Full Text] [Related]
11. DRMDA: deep representations-based miRNA-disease association prediction.
Chen X; Gong Y; Zhang DH; You ZH; Li ZW
J Cell Mol Med; 2018 Jan; 22(1):472-485. PubMed ID: 28857494
[TBL] [Abstract][Full Text] [Related]
12. GIMDA: Graphlet interaction-based MiRNA-disease association prediction.
Chen X; Guan NN; Li JQ; Yan GY
J Cell Mol Med; 2018 Mar; 22(3):1548-1561. PubMed ID: 29272076
[TBL] [Abstract][Full Text] [Related]
13. EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction.
Chen X; Huang L; Xie D; Zhao Q
Cell Death Dis; 2018 Jan; 9(1):3. PubMed ID: 29305594
[TBL] [Abstract][Full Text] [Related]
14. NARRMDA: negative-aware and rating-based recommendation algorithm for miRNA-disease association prediction.
Peng L; Chen Y; Ma N; Chen X
Mol Biosyst; 2017 Nov; 13(12):2650-2659. PubMed ID: 29053164
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. miREFRWR: a novel disease-related microRNA-environmental factor interactions prediction method.
Chen X
Mol Biosyst; 2016 Feb; 12(2):624-33. PubMed ID: 26689259
[TBL] [Abstract][Full Text] [Related]
17. NTSMDA: prediction of miRNA-disease associations by integrating network topological similarity.
Sun D; Li A; Feng H; Wang M
Mol Biosyst; 2016 Jun; 12(7):2224-32. PubMed ID: 27153230
[TBL] [Abstract][Full Text] [Related]
18. HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction.
Chen X; Yan CC; Zhang X; You ZH; Huang YA; Yan GY
Oncotarget; 2016 Oct; 7(40):65257-65269. PubMed ID: 27533456
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Analysis of serum genome-wide microRNAs for breast cancer detection.
Wu Q; Wang C; Lu Z; Guo L; Ge Q
Clin Chim Acta; 2012 Jul; 413(13-14):1058-65. PubMed ID: 22387599
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
