179 related articles for article (PubMed ID: 33980147)
21. 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]
22. 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]
23. MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.
Wu TR; Yin MM; Jiao CN; Gao YL; Kong XZ; Liu JX
BMC Bioinformatics; 2020 Oct; 21(1):454. PubMed ID: 33054708
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. 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]
26. RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations.
Cui Z; Liu JX; Gao YL; Zheng CH; Wang J
BMC Bioinformatics; 2019 Dec; 20(Suppl 25):686. PubMed ID: 31874608
[TBL] [Abstract][Full Text] [Related]
27. TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph.
Ding L; Wang M; Sun D; Li A
Sci Rep; 2018 Jan; 8(1):1065. PubMed ID: 29348552
[TBL] [Abstract][Full Text] [Related]
28. NCPHLDA: a novel method for human lncRNA-disease association prediction based on network consistency projection.
Xie G; Huang Z; Liu Z; Lin Z; Ma L
Mol Omics; 2019 Dec; 15(6):442-450. PubMed ID: 31686064
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier.
Zhu R; Wang Y; Liu JX; Dai LY
BMC Bioinformatics; 2021 Apr; 22(1):175. PubMed ID: 33794766
[TBL] [Abstract][Full Text] [Related]
31. LDAI-ISPS: LncRNA-Disease Associations Inference Based on Integrated Space Projection Scores.
Zhang Y; Chen M; Li A; Cheng X; Jin H; Liu Y
Int J Mol Sci; 2020 Feb; 21(4):. PubMed ID: 32098405
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. 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]
34. LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning.
Lan W; Lai D; Chen Q; Wu X; Chen B; Liu J; Wang J; Chen YP
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(3):1715-1723. PubMed ID: 33125333
[TBL] [Abstract][Full Text] [Related]
35. Detecting lncRNA-Cancer Associations by Combining miRNAs, Genes, and Prognosis With Matrix Factorization.
Yan H; Chai H; Zhao H
Front Genet; 2021; 12():639872. PubMed ID: 34262591
[No Abstract] [Full Text] [Related]
36. DeepMNE: Deep Multi-Network Embedding for lncRNA-Disease Association Prediction.
Ma Y
IEEE J Biomed Health Inform; 2022 Jul; 26(7):3539-3549. PubMed ID: 35180094
[TBL] [Abstract][Full Text] [Related]
37. LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs.
Xuan P; Jia L; Zhang T; Sheng N; Li X; Li J
Int J Mol Sci; 2019 Sep; 20(18):. PubMed ID: 31510011
[TBL] [Abstract][Full Text] [Related]
38. MHRWR: Prediction of lncRNA-Disease Associations Based on Multiple Heterogeneous Networks.
Zhao X; Yang Y; Yin M
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2577-2585. PubMed ID: 32086216
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. GKLOMLI: a link prediction model for inferring miRNA-lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm.
Wong L; Wang L; You ZH; Yuan CA; Huang YA; Cao MY
BMC Bioinformatics; 2023 May; 24(1):188. PubMed ID: 37158823
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
