200 related articles for article (PubMed ID: 36360269)
1. 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]
2. A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations.
Li J; Li X; Feng X; Wang B; Zhao B; Wang L
BMC Bioinformatics; 2019 Dec; 20(1):626. PubMed ID: 31795943
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. BRWMC: Predicting lncRNA-disease associations based on bi-random walk and matrix completion on disease and lncRNA networks.
Zhang GZ; Gao YL
Comput Biol Chem; 2023 Apr; 103():107833. PubMed ID: 36812824
[TBL] [Abstract][Full Text] [Related]
5. A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairs.
Xiao Y; Xiao Z; Feng X; Chen Z; Kuang L; Wang L
BMC Bioinformatics; 2020 Dec; 21(1):555. PubMed ID: 33267800
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. HBRWRLDA: predicting potential lncRNA-disease associations based on hypergraph bi-random walk with restart.
Xie G; Zhu Y; Lin Z; Sun Y; Gu G; Li J; Wang W
Mol Genet Genomics; 2022 Sep; 297(5):1215-1228. PubMed ID: 35752742
[TBL] [Abstract][Full Text] [Related]
9. A Novel Approach for Potential Human LncRNA-Disease Association Prediction Based on Local Random Walk.
Li J; Zhao H; Xuan Z; Yu J; Feng X; Liao B; Wang L
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(3):1049-1059. PubMed ID: 31425046
[TBL] [Abstract][Full Text] [Related]
10. LUNCRW: Prediction of potential lncRNA-disease associations based on unbalanced neighborhood constraint random walk.
Xie GB; Liu SG; Gu GS; Lin ZY; Yu JR; Chen RB; Xie WJ; Xu HJ
Anal Biochem; 2023 Oct; 679():115297. PubMed ID: 37619903
[TBL] [Abstract][Full Text] [Related]
11. HAUBRW: Hybrid algorithm and unbalanced bi-random walk for predicting lncRNA-disease associations.
Xie G; Wu C; Gu G; Huang B
Genomics; 2020 Nov; 112(6):4777-4787. PubMed ID: 33348478
[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. gGATLDA: lncRNA-disease association prediction based on graph-level graph attention network.
Wang L; Zhong C
BMC Bioinformatics; 2022 Jan; 23(1):11. PubMed ID: 34983363
[TBL] [Abstract][Full Text] [Related]
14. LPI-IBWA: Predicting lncRNA-protein interactions based on an improved Bi-Random walk algorithm.
Xie M; Xie R; Wang H
Methods; 2023 Dec; 220():98-105. PubMed ID: 37972912
[TBL] [Abstract][Full Text] [Related]
15. LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting.
Zhang Y; Ye F; Xiong D; Gao X
BMC Bioinformatics; 2020 Sep; 21(1):377. PubMed ID: 32883200
[TBL] [Abstract][Full Text] [Related]
16. Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information.
Fan XN; Zhang SW; Zhang SY; Zhu K; Lu S
BMC Bioinformatics; 2019 Feb; 20(1):87. PubMed ID: 30782113
[TBL] [Abstract][Full Text] [Related]
17. iLncDA-RSN: identification of lncRNA-disease associations based on reliable similarity networks.
Li Y; Zhang M; Shang J; Li F; Ren Q; Liu JX
Front Genet; 2023; 14():1249171. PubMed ID: 37614816
[TBL] [Abstract][Full Text] [Related]
18. Cluster correlation based method for lncRNA-disease association prediction.
Yuan Q; Guo X; Ren Y; Wen X; Gao L
BMC Bioinformatics; 2020 May; 21(1):180. PubMed ID: 32393162
[TBL] [Abstract][Full Text] [Related]
19. IRWRLDA: improved random walk with restart for lncRNA-disease association prediction.
Chen X; You ZH; Yan GY; Gong DW
Oncotarget; 2016 Sep; 7(36):57919-57931. PubMed ID: 27517318
[TBL] [Abstract][Full Text] [Related]
20. Global network random walk for predicting potential human lncRNA-disease associations.
Gu C; Liao B; Li X; Cai L; Li Z; Li K; Yang J
Sci Rep; 2017 Sep; 7(1):12442. PubMed ID: 28963512
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
