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 *

346 related articles for article (PubMed ID: 25969690)

  • 1. Network-based inference methods for drug repositioning.
    Chen H; Zhang H; Zhang Z; Cao Y; Tang W
    Comput Math Methods Med; 2015; 2015():130620. PubMed ID: 25969690
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Network-based drug ranking and repositioning with respect to DrugBank therapeutic categories.
    Re M; Valentini G
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(6):1359-71. PubMed ID: 24407295
    [TBL] [Abstract][Full Text] [Related]  

  • 3. ksRepo: a generalized platform for computational drug repositioning.
    Brown AS; Kong SW; Kohane IS; Patel CJ
    BMC Bioinformatics; 2016 Feb; 17():78. PubMed ID: 26860211
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of polypharmacological profiles of drugs by the integration of chemical, side effect, and therapeutic space.
    Cheng F; Li W; Wu Z; Wang X; Zhang C; Li J; Liu G; Tang Y
    J Chem Inf Model; 2013 Apr; 53(4):753-62. PubMed ID: 23527559
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Drug Repositioning by Integrating Known Disease-Gene and Drug-Target Associations in a Semi-supervised Learning Model.
    Le DH; Nguyen-Ngoc D
    Acta Biotheor; 2018 Dec; 66(4):315-331. PubMed ID: 29700660
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A miRNA-driven inference model to construct potential drug-disease associations for drug repositioning.
    Chen H; Zhang Z
    Biomed Res Int; 2015; 2015():406463. PubMed ID: 25789319
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DrugNet: network-based drug-disease prioritization by integrating heterogeneous data.
    Martínez V; Navarro C; Cano C; Fajardo W; Blanco A
    Artif Intell Med; 2015 Jan; 63(1):41-9. PubMed ID: 25704113
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Systematic drug repositioning for a wide range of diseases with integrative analyses of phenotypic and molecular data.
    Iwata H; Sawada R; Mizutani S; Yamanishi Y
    J Chem Inf Model; 2015 Feb; 55(2):446-59. PubMed ID: 25602292
    [TBL] [Abstract][Full Text] [Related]  

  • 9. iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding.
    Chen H; Cheng F; Li J
    PLoS Comput Biol; 2020 Jul; 16(7):e1008040. PubMed ID: 32667925
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computational Drug Repositioning with Random Walk on a Heterogeneous Network.
    Luo H; Wang J; Li M; Luo J; Ni P; Zhao K; Wu FX; Pan Y
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(6):1890-1900. PubMed ID: 29994051
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Adverse drug events: database construction and in silico prediction.
    Cheng F; Li W; Wang X; Zhou Y; Wu Z; Shen J; Tang Y
    J Chem Inf Model; 2013 Apr; 53(4):744-52. PubMed ID: 23521697
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Drug repositioning through incomplete bi-cliques in an integrated drug-target-disease network.
    Daminelli S; Haupt VJ; Reimann M; Schroeder M
    Integr Biol (Camb); 2012 Jul; 4(7):778-88. PubMed ID: 22538435
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Scoring multiple features to predict drug disease associations using information fusion and aggregation.
    Moghadam H; Rahgozar M; Gharaghani S
    SAR QSAR Environ Res; 2016 Aug; 27(8):609-28. PubMed ID: 27455069
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network.
    Zhang W; Yue X; Huang F; Liu R; Chen Y; Ruan C
    Methods; 2018 Aug; 145():51-59. PubMed ID: 29879508
    [TBL] [Abstract][Full Text] [Related]  

  • 15. In silico drug repositioning based on integrated drug targets and canonical correlation analysis.
    Chen H; Zhang Z; Zhang J
    BMC Med Genomics; 2022 Mar; 15(1):48. PubMed ID: 35249529
    [TBL] [Abstract][Full Text] [Related]  

  • 16. SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network.
    Jiang HJ; Huang YA; You ZH
    Sci Rep; 2020 Mar; 10(1):4972. PubMed ID: 32188871
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Recommendation Techniques for Drug-Target Interaction Prediction and Drug Repositioning.
    Alaimo S; Giugno R; Pulvirenti A
    Methods Mol Biol; 2016; 1415():441-62. PubMed ID: 27115647
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association.
    Cheng L; Li J; Ju P; Peng J; Wang Y
    PLoS One; 2014; 9(6):e99415. PubMed ID: 24932637
    [TBL] [Abstract][Full Text] [Related]  

  • 19. HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks.
    Zhao BW; Hu L; You ZH; Wang L; Su XR
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34891172
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hybrid attentional memory network for computational drug repositioning.
    He J; Yang X; Gong Z; Zamit L
    BMC Bioinformatics; 2020 Dec; 21(1):566. PubMed ID: 33297947
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.