263 related articles for article (PubMed ID: 30439645)
1. Novel Human miRNA-Disease Association Inference Based on Random Forest.
Chen X; Wang CC; Yin J; You ZH
Mol Ther Nucleic Acids; 2018 Dec; 13():568-579. PubMed ID: 30439645
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Identifying and Exploiting Potential miRNA-Disease Associations With Neighborhood Regularized Logistic Matrix Factorization.
He BS; Qu J; Zhao Q
Front Genet; 2018; 9():303. PubMed ID: 30131824
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. TLHNMDA: Triple Layer Heterogeneous Network Based Inference for MiRNA-Disease Association Prediction.
Chen X; Qu J; Yin J
Front Genet; 2018; 9():234. PubMed ID: 30018632
[TBL] [Abstract][Full Text] [Related]
7. GRMDA: Graph Regression for MiRNA-Disease Association Prediction.
Chen X; Yang JR; Guan NN; Li JQ
Front Physiol; 2018; 9():92. PubMed ID: 29515453
[TBL] [Abstract][Full Text] [Related]
8. RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations.
Wang CC; Chen X; Qu J; Sun YZ; Li JQ
J Chem Inf Model; 2019 Apr; 59(4):1668-1679. PubMed ID: 30840454
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. MLMDA: a machine learning approach to predict and validate MicroRNA-disease associations by integrating of heterogenous information sources.
Zheng K; You ZH; Wang L; Zhou Y; Li LP; Li ZW
J Transl Med; 2019 Aug; 17(1):260. PubMed ID: 31395072
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Integrating random walk and binary regression to identify novel miRNA-disease association.
Niu YW; Wang GH; Yan GY; Chen X
BMC Bioinformatics; 2019 Jan; 20(1):59. PubMed ID: 30691413
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. 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]
17. 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]
18. 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]
19. 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]
20. Predicting miRNA-disease association based on inductive matrix completion.
Chen X; Wang L; Qu J; Guan NN; Li JQ
Bioinformatics; 2018 Dec; 34(24):4256-4265. PubMed ID: 29939227
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
