450 related articles for article (PubMed ID: 29619882)
1. ELLPMDA: Ensemble learning and link prediction for miRNA-disease association prediction.
Chen X; Zhou Z; Zhao Y
RNA Biol; 2018; 15(6):807-818. PubMed ID: 29619882
[TBL] [Abstract][Full Text] [Related]
2. MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction.
Chen X; Yin J; Qu J; Huang L
PLoS Comput Biol; 2018 Aug; 14(8):e1006418. PubMed ID: 30142158
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA-disease association prediction.
Chen X; Niu YW; Wang GH; Yan GY
J Transl Med; 2017 Dec; 15(1):251. PubMed ID: 29233191
[TBL] [Abstract][Full Text] [Related]
11. An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy.
Wang CC; Chen X; Yin J; Qu J
RNA Biol; 2019 Mar; 16(3):257-269. PubMed ID: 30646823
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering.
Nie R; Li Z; You ZH; Bao W; Li J
BMC Med Inform Decis Mak; 2021 Aug; 21(Suppl 1):254. PubMed ID: 34461870
[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. A Computational Study of Potential miRNA-Disease Association Inference Based on Ensemble Learning and Kernel Ridge Regression.
Peng LH; Zhou LQ; Chen X; Piao X
Front Bioeng Biotechnol; 2020; 8():40. PubMed ID: 32117922
[TBL] [Abstract][Full Text] [Related]
17. Dual Laplacian regularized matrix completion for microRNA-disease associations prediction.
Tang C; Zhou H; Zheng X; Zhang Y; Sha X
RNA Biol; 2019 May; 16(5):601-611. PubMed ID: 30676207
[TBL] [Abstract][Full Text] [Related]
18. RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction.
Chen X; Wu QF; Yan GY
RNA Biol; 2017 Jul; 14(7):952-962. PubMed ID: 28421868
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease.
Wang CC; Zhu CC; Chen X
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34676393
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]