312 related articles for article (PubMed ID: 31234797)
1. NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations.
Gao YL; Cui Z; Liu JX; Wang J; Zheng CH
BMC Bioinformatics; 2019 Jun; 20(1):353. PubMed ID: 31234797
[TBL] [Abstract][Full Text] [Related]
2. RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations.
Cui Z; Liu JX; Gao YL; Zheng CH; Wang J
BMC Bioinformatics; 2019 Dec; 20(Suppl 25):686. PubMed ID: 31874608
[TBL] [Abstract][Full Text] [Related]
3. Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations.
Zhou F; Yin MM; Jiao CN; Cui Z; Zhao JX; Liu JX
BMC Bioinformatics; 2021 Nov; 22(1):573. PubMed ID: 34837953
[TBL] [Abstract][Full Text] [Related]
4. MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.
Wu TR; Yin MM; Jiao CN; Gao YL; Kong XZ; Liu JX
BMC Bioinformatics; 2020 Oct; 21(1):454. PubMed ID: 33054708
[TBL] [Abstract][Full Text] [Related]
5. A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations.
Zhou F; Yin MM; Zhao JX; Shang J; Liu JX
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):52-60. PubMed ID: 34882558
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. MicroRNA-disease association prediction by matrix tri-factorization.
Li H; Guo Y; Cai M; Li L
BMC Genomics; 2020 Nov; 21(Suppl 10):617. PubMed ID: 33208088
[TBL] [Abstract][Full Text] [Related]
9. Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations.
Wang SH; Wang CC; Huang L; Miao LY; Chen X
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34864865
[TBL] [Abstract][Full Text] [Related]
10. LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations.
Yin MM; Cui Z; Gao MM; Liu JX; Gao YL
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(3):1122-1129. PubMed ID: 31478868
[TBL] [Abstract][Full Text] [Related]
11. 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]
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. 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]
14. Predicting MiRNA-Disease Association by Latent Feature Extraction with Positive Samples.
Che K; Guo M; Wang C; Liu X; Chen X
Genes (Basel); 2019 Jan; 10(2):. PubMed ID: 30682853
[TBL] [Abstract][Full Text] [Related]
15. Hessian Regularized [Formula: see text]-Nonnegative Matrix Factorization and Deep Learning for miRNA-Disease Associations Prediction.
Han GS; Gao Q; Peng LZ; Tang J
Interdiscip Sci; 2024 Mar; 16(1):176-191. PubMed ID: 38099958
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Improved Prediction of miRNA-Disease Associations Based on Matrix Completion with Network Regularization.
Ha J; Park C; Park C; Park S
Cells; 2020 Apr; 9(4):. PubMed ID: 32260218
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Dual-network sparse graph regularized matrix factorization for predicting miRNA-disease associations.
Gao MM; Cui Z; Gao YL; Liu JX; Zheng CH
Mol Omics; 2019 Apr; 15(2):130-137. PubMed ID: 30723850
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
