230 related articles for article (PubMed ID: 32883200)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. Prediction of lncRNA and disease associations based on residual graph convolutional networks with attention mechanism.
Wang S; Qiao J; Feng S
Sci Rep; 2024 Mar; 14(1):5185. PubMed ID: 38431702
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. MCA-Net: Multi-Feature Coding and Attention Convolutional Neural Network for Predicting lncRNA-Disease Association.
Zhang Y; Ye F; Gao X
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(5):2907-2919. PubMed ID: 34283719
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs.
Yuan L; Zhao J; Sun T; Shen Z
BMC Bioinformatics; 2021 Jun; 22(1):332. PubMed ID: 34134612
[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. LDAH2V: Exploring Meta-Paths Across Multiple Networks for lncRNA-Disease Association Prediction.
Deng L; Li W; Zhang J
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1572-1581. PubMed ID: 31725386
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Predicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA.
Chen X
Sci Rep; 2015 Aug; 5():13186. PubMed ID: 26278472
[TBL] [Abstract][Full Text] [Related]
17. LDA-VGHB: identifying potential lncRNA-disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine.
Peng L; Huang L; Su Q; Tian G; Chen M; Han G
Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38127089
[TBL] [Abstract][Full Text] [Related]
18. Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.
Sheng N; Cui H; Zhang T; Xuan P
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32444875
[TBL] [Abstract][Full Text] [Related]
19. Prediction of lncRNA-disease associations based on inductive matrix completion.
Lu C; Yang M; Luo F; Wu FX; Li M; Pan Y; Li Y; Wang J
Bioinformatics; 2018 Oct; 34(19):3357-3364. PubMed ID: 29718113
[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]