These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 35882886)

  • 1. 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]  

  • 2. 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]  

  • 3. lncRNA-disease association prediction based on the weight matrix and projection score.
    Wang B; Zhang C; Du XX; Zheng XD; Li JY
    PLoS One; 2023; 18(1):e0278817. PubMed ID: 36595551
    [TBL] [Abstract][Full Text] [Related]  

  • 4. lncRNA-disease association prediction based on latent factor model and projection.
    Wang B; Zhang C; Du XX; Zhang JF
    Sci Rep; 2021 Oct; 11(1):19965. PubMed ID: 34620945
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. JSCSNCP-LMA: a method for predicting the association of lncRNA-miRNA.
    Wang B; Wang X; Zheng X; Han Y; Du X
    Sci Rep; 2022 Oct; 12(1):17030. PubMed ID: 36220862
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Heterogeneous graph neural network for lncRNA-disease association prediction.
    Shi H; Zhang X; Tang L; Liu L
    Sci Rep; 2022 Oct; 12(1):17519. PubMed ID: 36266433
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. Neighborhood based computational approaches for the prediction of lncRNA-disease associations.
    Bonomo M; Rombo SE
    BMC Bioinformatics; 2024 May; 25(1):187. PubMed ID: 38741200
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks.
    Yao D; Deng Y; Zhan X; Zhan X
    BMC Bioinformatics; 2024 Jan; 25(1):46. PubMed ID: 38287236
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering.
    Nie R; Li Z; You ZH; Bao W; Li J
    BMC Med Inform Decis Mak; 2021 Aug; 21(Suppl 1):254. PubMed ID: 34461870
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Matrix factorization-based data fusion for the prediction of lncRNA-disease associations.
    Fu G; Wang J; Domeniconi C; Yu G
    Bioinformatics; 2018 May; 34(9):1529-1537. PubMed ID: 29228285
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction.
    Chen X; Yin J; Qu J; Huang L
    PLoS Comput Biol; 2018 Aug; 14(8):e1006418. PubMed ID: 30142158
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.