223 related articles for article (PubMed ID: 28947982)
1. BRWLDA: bi-random walks for predicting lncRNA-disease associations.
Yu G; Fu G; Lu C; Ren Y; Wang J
Oncotarget; 2017 Sep; 8(36):60429-60446. PubMed ID: 28947982
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Inferring novel lncRNA-disease associations based on a random walk model of a lncRNA functional similarity network.
Sun J; Shi H; Wang Z; Zhang C; Liu L; Wang L; He W; Hao D; Liu S; Zhou M
Mol Biosyst; 2014 Aug; 10(8):2074-81. PubMed ID: 24850297
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Predicting LncRNA-Disease Association by a Random Walk With Restart on Multiplex and Heterogeneous Networks.
Yao Y; Ji B; Lv Y; Li L; Xiang J; Liao B; Gao W
Front Genet; 2021; 12():712170. PubMed ID: 34490041
[TBL] [Abstract][Full Text] [Related]
7. A novel algorithm based on bi-random walks to identify disease-related lncRNAs.
Hu J; Gao Y; Li J; Zheng Y; Wang J; Shang X
BMC Bioinformatics; 2019 Nov; 20(Suppl 18):569. PubMed ID: 31760932
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity.
Chen X; Yan CC; Luo C; Ji W; Zhang Y; Dai Q
Sci Rep; 2015 Jun; 5():11338. PubMed ID: 26061969
[TBL] [Abstract][Full Text] [Related]
11. Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model.
Li A; Ge M; Zhang Y; Peng C; Wang M
Biomed Res Int; 2015; 2015():671950. PubMed ID: 26839884
[TBL] [Abstract][Full Text] [Related]
12. Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk.
Zhang J; Zou S; Deng L
BMC Med Genomics; 2018 Nov; 11(Suppl 5):99. PubMed ID: 30453964
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. BPLLDA: Predicting lncRNA-Disease Associations Based on Simple Paths With Limited Lengths in a Heterogeneous Network.
Xiao X; Zhu W; Liao B; Xu J; Gu C; Ji B; Yao Y; Peng L; Yang J
Front Genet; 2018; 9():411. PubMed ID: 30459803
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Prioritizing candidate disease-related long non-coding RNAs by walking on the heterogeneous lncRNA and disease network.
Zhou M; Wang X; Li J; Hao D; Wang Z; Shi H; Han L; Zhou H; Sun J
Mol Biosyst; 2015 Mar; 11(3):760-9. PubMed ID: 25502053
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. NCP-BiRW: A Hybrid Approach for Predicting Long Noncoding RNA-Disease Associations by Network Consistency Projection and Bi-Random Walk.
Liu Y; Yang H; Zheng C; Wang K; Yan J; Cao H; Zhang Y
Front Genet; 2022; 13():862272. PubMed ID: 35495166
[TBL] [Abstract][Full Text] [Related]
19. CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.
Xuan P; Sheng N; Zhang T; Liu Y; Guo Y
Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31480319
[TBL] [Abstract][Full Text] [Related]
20. Integrating Multiple Heterogeneous Networks for Novel LncRNA-Disease Association Inference.
Zhang J; Zhang Z; Chen Z; Deng L
IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(2):396-406. PubMed ID: 28489543
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
