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 *

279 related articles for article (PubMed ID: 30528728)

  • 1. Prediction of drug-target interaction by integrating diverse heterogeneous information source with multiple kernel learning and clustering methods.
    Yan XY; Zhang SW; He CR
    Comput Biol Chem; 2019 Feb; 78():460-467. PubMed ID: 30528728
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of drug-target interaction by label propagation with mutual interaction information derived from heterogeneous network.
    Yan XY; Zhang SW; Zhang SY
    Mol Biosyst; 2016 Feb; 12(2):520-31. PubMed ID: 26675534
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. A Drug-Target Network-Based Supervised Machine Learning Repurposing Method Allowing the Use of Multiple Heterogeneous Information Sources.
    Nascimento ACA; Prudêncio RBC; Costa IG
    Methods Mol Biol; 2019; 1903():281-289. PubMed ID: 30547449
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Drug-target interaction prediction by random walk on the heterogeneous network.
    Chen X; Liu MX; Yan GY
    Mol Biosyst; 2012 Jul; 8(7):1970-8. PubMed ID: 22538619
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Gaussian interaction profile kernels for predicting drug-target interaction.
    van Laarhoven T; Nabuurs SB; Marchiori E
    Bioinformatics; 2011 Nov; 27(21):3036-43. PubMed ID: 21893517
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Network inference with ensembles of bi-clustering trees.
    Pliakos K; Vens C
    BMC Bioinformatics; 2019 Oct; 20(1):525. PubMed ID: 31660848
    [TBL] [Abstract][Full Text] [Related]  

  • 8. DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques.
    Thafar MA; Olayan RS; Ashoor H; Albaradei S; Bajic VB; Gao X; Gojobori T; Essack M
    J Cheminform; 2020 Jun; 12(1):44. PubMed ID: 33431036
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identifying Drug-Target Interactions with Decision Templates.
    Yan XY; Zhang SW
    Curr Protein Pept Sci; 2018; 19(5):498-506. PubMed ID: 27829344
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting drug-target interaction for new drugs using enhanced similarity measures and super-target clustering.
    Shi JY; Yiu SM; Li Y; Leung HC; Chin FY
    Methods; 2015 Jul; 83():98-104. PubMed ID: 25957673
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Kernel-based data fusion improves the drug-protein interaction prediction.
    Wang YC; Zhang CH; Deng NY; Wang Y
    Comput Biol Chem; 2011 Dec; 35(6):353-62. PubMed ID: 22099632
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Machine Learning-Based Biological Drug-Target Interaction Prediction Method for a Tripartite Heterogeneous Network.
    Zheng Y; Wu Z
    ACS Omega; 2021 Feb; 6(4):3037-3045. PubMed ID: 33553921
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of drug-target interaction by a random walk with restart method on an interactome network.
    Lee I; Nam H
    BMC Bioinformatics; 2018 Jun; 19(Suppl 8):208. PubMed ID: 29897326
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.
    Ezzat A; Zhao P; Wu M; Li XL; Kwoh CK
    IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(3):646-656. PubMed ID: 26890921
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Integrating Biological Networks for Drug Target Prediction and Prioritization.
    Ji X; Freudenberg JM; Agarwal P
    Methods Mol Biol; 2019; 1903():203-218. PubMed ID: 30547444
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A multiple kernel learning algorithm for drug-target interaction prediction.
    Nascimento AC; Prudêncio RB; Costa IG
    BMC Bioinformatics; 2016 Jan; 17():46. PubMed ID: 26801218
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity.
    Rohani N; Eslahchi C
    Sci Rep; 2019 Sep; 9(1):13645. PubMed ID: 31541145
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Drug-target interaction prediction with tree-ensemble learning and output space reconstruction.
    Pliakos K; Vens C
    BMC Bioinformatics; 2020 Feb; 21(1):49. PubMed ID: 32033537
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information.
    Luo Y; Zhao X; Zhou J; Yang J; Zhang Y; Kuang W; Peng J; Chen L; Zeng J
    Nat Commun; 2017 Sep; 8(1):573. PubMed ID: 28924171
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.