BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

91 related articles for article (PubMed ID: 34736437)

  • 1. Learning from low-rank multimodal representations for predicting disease-drug associations.
    Hu P; Huang YA; Mei J; Leung H; Chen ZH; Kuang ZM; You ZH; Hu L
    BMC Med Inform Decis Mak; 2021 Nov; 21(Suppl 1):308. PubMed ID: 34736437
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks.
    Jarada TN; Rokne JG; Alhajj R
    BMC Bioinformatics; 2021 Jan; 22(1):28. PubMed ID: 33482713
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association.
    Ai C; Yang H; Ding Y; Tang J; Guo F
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(5):3033-3043. PubMed ID: 37159322
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association Prediction.
    Wang Y; Song J; Dai Q; Duan X
    IEEE J Biomed Health Inform; 2024 May; 28(5):3146-3157. PubMed ID: 38294927
    [TBL] [Abstract][Full Text] [Related]  

  • 6. NEDD: a network embedding based method for predicting drug-disease associations.
    Zhou R; Lu Z; Luo H; Xiang J; Zeng M; Li M
    BMC Bioinformatics; 2020 Sep; 21(Suppl 13):387. PubMed ID: 32938396
    [TBL] [Abstract][Full Text] [Related]  

  • 7. In silico drug repositioning based on the integration of chemical, genomic and pharmacological spaces.
    Chen H; Zhang Z; Zhang J
    BMC Bioinformatics; 2021 Feb; 22(1):52. PubMed ID: 33557749
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Convolutional Neural Network and Bidirectional Long Short-Term Memory-Based Method for Predicting Drug-Disease Associations.
    Xuan P; Ye Y; Zhang T; Zhao L; Sun C
    Cells; 2019 Jul; 8(7):. PubMed ID: 31336774
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The assessment of efficient representation of drug features using deep learning for drug repositioning.
    Moridi M; Ghadirinia M; Sharifi-Zarchi A; Zare-Mirakabad F
    BMC Bioinformatics; 2019 Nov; 20(1):577. PubMed ID: 31726977
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A drug repositioning algorithm based on a deep autoencoder and adaptive fusion.
    Chen P; Bao T; Yu X; Liu Z
    BMC Bioinformatics; 2021 Oct; 22(1):532. PubMed ID: 34717542
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel efficient drug repurposing framework through drug-disease association data integration using convolutional neural networks.
    Amiri R; Razmara J; Parvizpour S; Izadkhah H
    BMC Bioinformatics; 2023 Nov; 24(1):442. PubMed ID: 37993777
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MeSHDD: Literature-based drug-drug similarity for drug repositioning.
    Brown AS; Patel CJ
    J Am Med Inform Assoc; 2017 May; 24(3):614-618. PubMed ID: 27678460
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting drug-target interactions using matrix factorization with self-paced learning and dual similarity information.
    Ling C; Zeng T; Dang Q; Liang Y; Liu X; Xie S
    Technol Health Care; 2024; 32(S1):49-64. PubMed ID: 38759038
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Semi-supervised Hierarchical Drug Embedding in Hyperbolic Space.
    Yu K; Visweswaran S; Batmanghelich K
    J Chem Inf Model; 2020 Dec; 60(12):5647-5657. PubMed ID: 33140969
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Drug-Disease Associations via Multi-Task Learning Based on Collective Matrix Factorization.
    Huang F; Qiu Y; Li Q; Liu S; Ni F
    Front Bioeng Biotechnol; 2020; 8():218. PubMed ID: 32373595
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DrugSim2DR: systematic prediction of drug functional similarities in the context of specific disease for drug repurposing.
    Wu J; Li J; He Y; Huang J; Zhao X; Pan B; Wang Y; Cheng L; Han J
    Gigascience; 2022 Dec; 12():. PubMed ID: 38116825
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MultiSourcDSim: an integrated approach for exploring disease similarity.
    Deng L; Ye D; Zhao J; Zhang J
    BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 6):269. PubMed ID: 31856813
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A network-based classification model for deriving novel drug-disease associations and assessing their molecular actions.
    Oh M; Ahn J; Yoon Y
    PLoS One; 2014; 9(10):e111668. PubMed ID: 25356910
    [TBL] [Abstract][Full Text] [Related]  

  • 19. PDATC-NCPMKL: Predicting drug's Anatomical Therapeutic Chemical (ATC) codes based on network consistency projection and multiple kernel learning.
    Chen L; Xu J; Zhou Y
    Comput Biol Med; 2024 Feb; 169():107862. PubMed ID: 38150886
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Network-based characterization of disease-disease relationships in terms of drugs and therapeutic targets.
    Iida M; Iwata M; Yamanishi Y
    Bioinformatics; 2020 Jul; 36(Suppl_1):i516-i524. PubMed ID: 32657408
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.