485 related articles for article (PubMed ID: 31455026)
1. 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]
2. 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]
3. Inferring disease-associated microRNAs in heterogeneous networks with node attributes.
Xuan P; Shen T; Wang X; Zhang T; Zhang W
IEEE/ACM Trans Comput Biol Bioinform; 2018 Sep; ():. PubMed ID: 30281474
[TBL] [Abstract][Full Text] [Related]
4. Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction.
Xuan P; Wang D; Cui H; Zhang T; Nakaguchi T
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34634106
[TBL] [Abstract][Full Text] [Related]
5. Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological Information.
Xuan P; Zhang Y; Zhang T; Li L; Zhao L
Genes (Basel); 2019 Sep; 10(9):. PubMed ID: 31500152
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. WBNPMD: weighted bipartite network projection for microRNA-disease association prediction.
Xie G; Fan Z; Sun Y; Wu C; Ma L
J Transl Med; 2019 Sep; 17(1):322. PubMed ID: 31547811
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. 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]
13. RBMMMDA: predicting multiple types of disease-microRNA associations.
Chen X; Yan CC; Zhang X; Li Z; Deng L; Zhang Y; Dai Q
Sci Rep; 2015 Sep; 5():13877. PubMed ID: 26347258
[TBL] [Abstract][Full Text] [Related]
14. Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations.
Xuan P; Gao L; Sheng N; Zhang T; Nakaguchi T
IEEE J Biomed Health Inform; 2021 May; 25(5):1793-1804. PubMed ID: 33216722
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. Integration of Multiple Genomic and Phenotype Data to Infer Novel miRNA-Disease Associations.
Shi H; Zhang G; Zhou M; Cheng L; Yang H; Wang J; Sun J; Wang Z
PLoS One; 2016; 11(2):e0148521. PubMed ID: 26849207
[TBL] [Abstract][Full Text] [Related]
19. MicroRNAs and complex diseases: from experimental results to computational models.
Chen X; Xie D; Zhao Q; You ZH
Brief Bioinform; 2019 Mar; 20(2):515-539. PubMed ID: 29045685
[TBL] [Abstract][Full Text] [Related]
20. Prediction of potential disease-associated microRNAs using structural perturbation method.
Zeng X; Liu L; Lü L; Zou Q
Bioinformatics; 2018 Jul; 34(14):2425-2432. PubMed ID: 29490018
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
