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 *

141 related articles for article (PubMed ID: 36376802)

  • 1. A novel bi-directional heterogeneous network selection method for disease and microbial association prediction.
    Guan J; Zhang ZG; Liu Y; Wang M
    BMC Bioinformatics; 2022 Nov; 23(1):483. PubMed ID: 36376802
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A novel approach for predicting microbe-disease associations by bi-random walk on the heterogeneous network.
    Zou S; Zhang J; Zhang Z
    PLoS One; 2017; 12(9):e0184394. PubMed ID: 28880967
    [TBL] [Abstract][Full Text] [Related]  

  • 3. BRWMDA:Predicting Microbe-Disease Associations Based on Similarities and Bi-Random Walk on Disease and Microbe Networks.
    Yan C; Duan G; Wu FX; Pan Y; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(5):1595-1604. PubMed ID: 30932846
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of Virus-Receptor Interactions Based on Improving Similarities.
    Zhu L; Yan C; Duan G
    J Comput Biol; 2021 Jul; 28(7):650-659. PubMed ID: 33481654
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting Microbe-Disease Association Based on Multiple Similarities and LINE Algorithm.
    Wang Y; Lei X; Lu C; Pan Y
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2399-2408. PubMed ID: 34014827
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computational drug repositioning using meta-path-based semantic network analysis.
    Tian Z; Teng Z; Cheng S; Guo M
    BMC Syst Biol; 2018 Dec; 12(Suppl 9):134. PubMed ID: 30598084
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm.
    Luo H; Wang J; Li M; Luo J; Peng X; Wu FX; Pan Y
    Bioinformatics; 2016 Sep; 32(17):2664-71. PubMed ID: 27153662
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PRWHMDA: Human Microbe-Disease Association Prediction by Random Walk on the Heterogeneous Network with PSO.
    Wu C; Gao R; Zhang D; Han S; Zhang Y
    Int J Biol Sci; 2018; 14(8):849-857. PubMed ID: 29989079
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inferring microRNA-disease association by hybrid recommendation algorithm and unbalanced bi-random walk on heterogeneous network.
    Yu DL; Ma YL; Yu ZG
    Sci Rep; 2019 Feb; 9(1):2474. PubMed ID: 30792474
    [TBL] [Abstract][Full Text] [Related]  

  • 11. NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity.
    Luo J; Long Y
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(4):1341-1351. PubMed ID: 30489271
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An improved random forest-based computational model for predicting novel miRNA-disease associations.
    Yao D; Zhan X; Kwoh CK
    BMC Bioinformatics; 2019 Dec; 20(1):624. PubMed ID: 31795954
    [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. Prediction of disease-related metabolites using bi-random walks.
    Lei X; Tie J
    PLoS One; 2019; 14(11):e0225380. PubMed ID: 31730648
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of circRNA-Disease Associations Based on the Combination of Multi-Head Graph Attention Network and Graph Convolutional Network.
    Cao R; He C; Wei P; Su Y; Xia J; Zheng C
    Biomolecules; 2022 Jul; 12(7):. PubMed ID: 35883487
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MCHMDA:Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion.
    Yan C; Duan G; Wu FX; Pan Y; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):611-620. PubMed ID: 31295117
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.
    Xuan P; Wang S; Cui H; Zhao Y; Zhang T; Wu P
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36088549
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network.
    Luo J; Xiao Q
    J Biomed Inform; 2017 Feb; 66():194-203. PubMed ID: 28104458
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.