598 related articles for article (PubMed ID: 29990253)
1. 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]
2. 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]
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. Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities.
Lan W; Wang J; Li M; Liu J; Wu FX; Pan Y
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(6):1774-1782. PubMed ID: 27392365
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. MiRNA-disease interaction prediction based on kernel neighborhood similarity and multi-network bidirectional propagation.
Ma Y; He T; Ge L; Zhang C; Jiang X
BMC Med Genomics; 2019 Dec; 12(Suppl 10):185. PubMed ID: 31865912
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Graph regularized L
Gao Z; Wang YT; Wu QW; Ni JC; Zheng CH
BMC Bioinformatics; 2020 Feb; 21(1):61. PubMed ID: 32070280
[TBL] [Abstract][Full Text] [Related]
11. Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks.
Xuan P; Sun H; Wang X; Zhang T; Pan S
Int J Mol Sci; 2019 Jul; 20(15):. PubMed ID: 31349729
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Prediction of microRNA-disease associations based on distance correlation set.
Zhao H; Kuang L; Wang L; Ping P; Xuan Z; Pei T; Wu Z
BMC Bioinformatics; 2018 Apr; 19(1):141. PubMed ID: 29665774
[TBL] [Abstract][Full Text] [Related]
14. MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction.
Li J; Liu T; Wang J; Li Q; Ning C; Yang Y
Artif Intell Med; 2021 Aug; 118():102115. PubMed ID: 34412838
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A Novel Computational Model for Predicting microRNA-Disease Associations Based on Heterogeneous Graph Convolutional Networks.
Li C; Liu H; Hu Q; Que J; Yao J
Cells; 2019 Aug; 8(9):. PubMed ID: 31455028
[TBL] [Abstract][Full Text] [Related]
17. A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
Ji C; Wang Y; Gao Z; Li L; Ni J; Zheng C
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2049-2059. PubMed ID: 33735084
[TBL] [Abstract][Full Text] [Related]
18. ES-MDA: Enhanced Similarity-based MiRNA-Disease Association.
Xu L; Jiang GN
Curr Protein Pept Sci; 2020; 21(11):1060-1067. PubMed ID: 32914711
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Predicting miRNA-disease associations based on graph attention networks and dual Laplacian regularized least squares.
Wang W; Chen H
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35849099
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]