206 related articles for article (PubMed ID: 31510919)
1. A network embedding-based multiple information integration method for the MiRNA-disease association prediction.
Gong Y; Niu Y; Zhang W; Li X
BMC Bioinformatics; 2019 Sep; 20(1):468. PubMed ID: 31510919
[TBL] [Abstract][Full Text] [Related]
2. A structural deep network embedding model for predicting associations between miRNA and disease based on molecular association network.
Li HY; Chen HY; Wang L; Song SJ; You ZH; Yan X; Yu JQ
Sci Rep; 2021 Jun; 11(1):12640. PubMed ID: 34135401
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Combined embedding model for MiRNA-disease association prediction.
Liu B; Zhu X; Zhang L; Liang Z; Li Z
BMC Bioinformatics; 2021 Mar; 22(1):161. PubMed ID: 33765909
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model.
Zhang L; Liu B; Li Z; Zhu X; Liang Z; An J
BMC Bioinformatics; 2020 Oct; 21(1):470. PubMed ID: 33087064
[TBL] [Abstract][Full Text] [Related]
8. A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations.
Zhang W; Li Z; Guo W; Yang W; Huang F
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):405-415. PubMed ID: 31369383
[TBL] [Abstract][Full Text] [Related]
9. Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction.
Zhao C; Qiu Y; Zhou S; Liu S; Zhang W; Niu Y
BMC Genomics; 2020 Dec; 21(Suppl 13):867. PubMed ID: 33334307
[TBL] [Abstract][Full Text] [Related]
10. EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network.
Pang S; Zhuang Y; Wang X; Wang F; Qiao S
BMC Med Inform Decis Mak; 2021 Nov; 21(1):319. PubMed ID: 34789236
[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 message passing framework with multiple data integration for miRNA-disease association prediction.
Dong TN; Schrader J; Mücke S; Khosla M
Sci Rep; 2022 Sep; 12(1):16259. PubMed ID: 36171337
[TBL] [Abstract][Full Text] [Related]
13. MFIDMA: A Multiple Information Integration Model for the Prediction of Drug-miRNA Associations.
Guan YJ; Yu CQ; Qiao Y; Li LP; You ZH; Ren ZH; Li YC; Pan J
Biology (Basel); 2022 Dec; 12(1):. PubMed ID: 36671734
[TBL] [Abstract][Full Text] [Related]
14. A novel circRNA-miRNA association prediction model based on structural deep neural network embedding.
Guo LX; You ZH; Wang L; Yu CQ; Zhao BW; Ren ZH; Pan J
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36088547
[TBL] [Abstract][Full Text] [Related]
15. SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations.
Zhang G; Li M; Deng H; Xu X; Liu X; Zhang W
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34875683
[TBL] [Abstract][Full Text] [Related]
16. 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]
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. Predicting miRNA-disease associations via learning multimodal networks and fusing mixed neighborhood information.
Lou Z; Cheng Z; Li H; Teng Z; Liu Y; Tian Z
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35524503
[TBL] [Abstract][Full Text] [Related]
19. A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network.
Luo J; Xiao Q
J Biomed Inform; 2017 Feb; 66():194-203. PubMed ID: 28104458
[TBL] [Abstract][Full Text] [Related]
20. Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs.
Xuan P; Dong Y; Guo Y; Zhang T; Liu Y
Int J Mol Sci; 2018 Nov; 19(12):. PubMed ID: 30477152
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
