200 related articles for article (PubMed ID: 31514111)
1. SKF-LDA: Similarity Kernel Fusion for Predicting lncRNA-Disease Association.
Xie G; Meng T; Luo Y; Liu Z
Mol Ther Nucleic Acids; 2019 Dec; 18():45-55. PubMed ID: 31514111
[TBL] [Abstract][Full Text] [Related]
2. MDA-SKF: Similarity Kernel Fusion for Accurately Discovering miRNA-Disease Association.
Jiang L; Ding Y; Tang J; Guo F
Front Genet; 2018; 9():618. PubMed ID: 30619454
[TBL] [Abstract][Full Text] [Related]
3. LPI-SKF: Predicting lncRNA-Protein Interactions Using Similarity Kernel Fusions.
Zhou YK; Hu J; Shen ZA; Zhang WY; Du PF
Front Genet; 2020; 11():615144. PubMed ID: 33362868
[TBL] [Abstract][Full Text] [Related]
4. DDA-SKF: Predicting Drug-Disease Associations Using Similarity Kernel Fusion.
Gao CQ; Zhou YK; Xin XH; Min H; Du PF
Front Pharmacol; 2021; 12():784171. PubMed ID: 35095495
[TBL] [Abstract][Full Text] [Related]
5. Predicting binary, discrete and continued lncRNA-disease associations via a unified framework based on graph regression.
Shi JY; Huang H; Zhang YN; Long YX; Yiu SM
BMC Med Genomics; 2017 Dec; 10(Suppl 4):65. PubMed ID: 29322937
[TBL] [Abstract][Full Text] [Related]
6. Finding Lung-Cancer-Related lncRNAs Based on Laplacian Regularized Least Squares With Unbalanced Bi-Random Walk.
Guo Z; Hui Y; Kong F; Lin X
Front Genet; 2022; 13():933009. PubMed ID: 35938010
[TBL] [Abstract][Full Text] [Related]
7. FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association.
Jiang L; Xiao Y; Ding Y; Tang J; Guo F
BMC Genomics; 2018 Dec; 19(Suppl 10):911. PubMed ID: 30598109
[TBL] [Abstract][Full Text] [Related]
8. A random forest based computational model for predicting novel lncRNA-disease associations.
Yao D; Zhan X; Zhan X; Kwoh CK; Li P; Wang J
BMC Bioinformatics; 2020 Mar; 21(1):126. PubMed ID: 32216744
[TBL] [Abstract][Full Text] [Related]
9. IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method.
Fan W; Shang J; Li F; Sun Y; Yuan S; Liu JX
BMC Bioinformatics; 2020 Jul; 21(1):339. PubMed ID: 32736513
[TBL] [Abstract][Full Text] [Related]
10. RWSF-BLP: a novel lncRNA-disease association prediction model using random walk-based multi-similarity fusion and bidirectional label propagation.
Xie G; Huang B; Sun Y; Wu C; Han Y
Mol Genet Genomics; 2021 May; 296(3):473-483. PubMed ID: 33590345
[TBL] [Abstract][Full Text] [Related]
11. LDA-LNSUBRW: lncRNA-Disease Association Prediction Based on Linear Neighborhood Similarity and Unbalanced bi-Random Walk.
Xie G; Jiang J; Sun Y
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(2):989-997. PubMed ID: 32870798
[TBL] [Abstract][Full Text] [Related]
12. Laplacian normalization and bi-random walks on heterogeneous networks for predicting lncRNA-disease associations.
Wen Y; Han G; Anh VV
BMC Syst Biol; 2018 Dec; 12(Suppl 9):122. PubMed ID: 30598088
[TBL] [Abstract][Full Text] [Related]
13. A Learning-Based Method for LncRNA-Disease Association Identification Combing Similarity Information and Rotation Forest.
Guo ZH; You ZH; Wang YB; Yi HC; Chen ZH
iScience; 2019 Sep; 19():786-795. PubMed ID: 31494494
[TBL] [Abstract][Full Text] [Related]
14. Predicting lncRNA-disease associations using network topological similarity based on deep mining heterogeneous networks.
Zhang H; Liang Y; Peng C; Han S; Du W; Li Y
Math Biosci; 2019 Sep; 315():108229. PubMed ID: 31323239
[TBL] [Abstract][Full Text] [Related]
15. Predicting lncRNA-disease associations based on combining selective similarity matrix fusion and bidirectional linear neighborhood label propagation.
Xie GB; Chen RB; Lin ZY; Gu GS; Yu JR; Liu ZG; Cui J; Lin LQ; Chen LC
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36592062
[TBL] [Abstract][Full Text] [Related]
16. MDSCMF: Matrix Decomposition and Similarity-Constrained Matrix Factorization for miRNA-Disease Association Prediction.
Ni J; Li L; Wang Y; Ji C; Zheng C
Genes (Basel); 2022 Jun; 13(6):. PubMed ID: 35741782
[TBL] [Abstract][Full Text] [Related]
17. DNILMF-LDA: Prediction of lncRNA-Disease Associations by Dual-Network Integrated Logistic Matrix Factorization and Bayesian Optimization.
Li Y; Li J; Bian N
Genes (Basel); 2019 Aug; 10(8):. PubMed ID: 31409034
[TBL] [Abstract][Full Text] [Related]
18. BiGAN: LncRNA-disease association prediction based on bidirectional generative adversarial network.
Yang Q; Li X
BMC Bioinformatics; 2021 Jun; 22(1):357. PubMed ID: 34193046
[TBL] [Abstract][Full Text] [Related]
19. MSF-UBRW: An Improved Unbalanced Bi-Random Walk Method to Infer Human lncRNA-Disease Associations.
Dai L; Zhu R; Liu J; Li F; Wang J; Shang J
Genes (Basel); 2022 Nov; 13(11):. PubMed ID: 36360269
[TBL] [Abstract][Full Text] [Related]
20. A path-based computational model for long non-coding RNA-protein interaction prediction.
Zhang H; Ming Z; Fan C; Zhao Q; Liu H
Genomics; 2020 Mar; 112(2):1754-1760. PubMed ID: 31639442
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
