361 related articles for article (PubMed ID: 31315558)
1. A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier.
Yu J; Xuan Z; Feng X; Zou Q; Wang L
BMC Bioinformatics; 2019 Jul; 20(1):396. PubMed ID: 31315558
[TBL] [Abstract][Full Text] [Related]
2. Inferring miRNA-disease associations using collaborative filtering and resource allocation on a tripartite graph.
Nguyen VT; Le TTK; Nguyen TQV; Tran DH
BMC Med Genomics; 2021 Nov; 14(Suppl 3):225. PubMed ID: 34789252
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A Novel Probability Model for LncRNA⁻Disease Association Prediction Based on the Naïve Bayesian Classifier.
Yu J; Ping P; Wang L; Kuang L; Li X; Wu Z
Genes (Basel); 2018 Jul; 9(7):. PubMed ID: 29986541
[TBL] [Abstract][Full Text] [Related]
5. Novel link prediction for large-scale miRNA-lncRNA interaction network in a bipartite graph.
Huang ZA; Huang YA; You ZH; Zhu Z; Sun Y
BMC Med Genomics; 2018 Dec; 11(Suppl 6):113. PubMed ID: 30598112
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A Probabilistic Matrix Factorization Method for Identifying lncRNA-disease Associations.
Xuan Z; Li J; Yu J; Feng X; Zhao B; Wang L
Genes (Basel); 2019 Feb; 10(2):. PubMed ID: 30744078
[TBL] [Abstract][Full Text] [Related]
8. Prediction of microRNA-disease associations based on distance correlation set.
Zhao H; Kuang L; Wang L; Ping P; Xuan Z; Pei T; Wu Z
BMC Bioinformatics; 2018 Apr; 19(1):141. PubMed ID: 29665774
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. lncRNA-disease association prediction based on matrix decomposition of elastic network and collaborative filtering.
Wang B; Liu R; Zheng X; Du X; Wang Z
Sci Rep; 2022 Jul; 12(1):12700. PubMed ID: 35882886
[TBL] [Abstract][Full Text] [Related]
11. A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs.
Zhao H; Kuang L; Wang L; Xuan Z
Comput Math Methods Med; 2018; 2018():6747453. PubMed ID: 30046354
[TBL] [Abstract][Full Text] [Related]
12. LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets.
Wang Y; Juan L; Peng J; Zang T; Wang Y
BMC Bioinformatics; 2019 Dec; 20(Suppl 16):582. PubMed ID: 31787106
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. A Novel Model for Predicting Associations between Diseases and LncRNA-miRNA Pairs Based on a Newly Constructed Bipartite Network.
Zhou S; Xuan Z; Wang L; Ping P; Pei T
Comput Math Methods Med; 2018; 2018():6789089. PubMed ID: 29853986
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A Novel Method for LncRNA-Disease Association Prediction Based on an lncRNA-Disease Association Network.
Ping P; Wang L; Kuang L; Ye S; Iqbal MFB; Pei T
IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(2):688-693. PubMed ID: 29993639
[TBL] [Abstract][Full Text] [Related]
17. A Novel Network-Based Computational Model for Prediction of Potential LncRNA⁻Disease Association.
Liu Y; Feng X; Zhao H; Xuan Z; Wang L
Int J Mol Sci; 2019 Mar; 20(7):. PubMed ID: 30925672
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. LDAEXC: LncRNA-Disease Associations Prediction with Deep Autoencoder and XGBoost Classifier.
Lu C; Xie M
Interdiscip Sci; 2023 Sep; 15(3):439-451. PubMed ID: 37308797
[TBL] [Abstract][Full Text] [Related]
20. HOPEXGB: A Consensual Model for Predicting miRNA/lncRNA-Disease Associations Using a Heterogeneous Disease-miRNA-lncRNA Information Network.
He J; Li M; Qiu J; Pu X; Guo Y
J Chem Inf Model; 2024 Apr; 64(7):2863-2877. PubMed ID: 37604142
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
