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 *

235 related articles for article (PubMed ID: 29687309)

  • 1. DR2DI: a powerful computational tool for predicting novel drug-disease associations.
    Lu L; Yu H
    J Comput Aided Mol Des; 2018 May; 32(5):633-642. PubMed ID: 29687309
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. DDAPRED: a computational method for predicting drug repositioning using regularized logistic matrix factorization.
    Wang X; Yan R
    J Mol Model; 2020 Feb; 26(3):60. PubMed ID: 32062701
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. deepDR: a network-based deep learning approach to in silico drug repositioning.
    Zeng X; Zhu S; Liu X; Zhou Y; Nussinov R; Cheng F
    Bioinformatics; 2019 Dec; 35(24):5191-5198. PubMed ID: 31116390
    [TBL] [Abstract][Full Text] [Related]  

  • 6. In silico drug repositioning using deep learning and comprehensive similarity measures.
    Yi HC; You ZH; Wang L; Su XR; Zhou X; Jiang TH
    BMC Bioinformatics; 2021 Jun; 22(Suppl 3):293. PubMed ID: 34074242
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Drug repositioning through integration of prior knowledge and projections of drugs and diseases.
    Xuan P; Cao Y; Zhang T; Wang X; Pan S; Shen T
    Bioinformatics; 2019 Oct; 35(20):4108-4119. PubMed ID: 30865257
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Computational drug repositioning using low-rank matrix approximation and randomized algorithms.
    Luo H; Li M; Wang S; Liu Q; Li Y; Wang J
    Bioinformatics; 2018 Jun; 34(11):1904-1912. PubMed ID: 29365057
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DrPOCS: Drug Repositioning Based on Projection Onto Convex Sets.
    Wang YY; Cui C; Qi L; Yan H; Zhao XM
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(1):154-162. PubMed ID: 29993698
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting Drug-Disease Associations via Using Gaussian Interaction Profile and Kernel-Based Autoencoder.
    Jiang HJ; Huang YA; You ZH
    Biomed Res Int; 2019; 2019():2426958. PubMed ID: 31534955
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Heter-LP: A Heterogeneous Label Propagation Method for Drug Repositioning.
    Lotfi Shahreza M; Ghadiri N; Green JR
    Methods Mol Biol; 2019; 1903():291-316. PubMed ID: 30547450
    [TBL] [Abstract][Full Text] [Related]  

  • 14. gene2drug: a computational tool for pathway-based rational drug repositioning.
    Napolitano F; Carrella D; Mandriani B; Pisonero-Vaquero S; Sirci F; Medina DL; Brunetti-Pierri N; di Bernardo D
    Bioinformatics; 2018 May; 34(9):1498-1505. PubMed ID: 29236977
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration.
    Wu G; Liu J; Wang C
    BMC Med Genomics; 2017 Dec; 10(Suppl 5):79. PubMed ID: 29297383
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting combinative drug pairs via multiple classifier system with positive samples only.
    Shi JY; Li JX; Mao KT; Cao JB; Lei P; Lu HM; Yiu SM
    Comput Methods Programs Biomed; 2019 Jan; 168():1-10. PubMed ID: 30527128
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Open-source chemogenomic data-driven algorithms for predicting drug-target interactions.
    Hao M; Bryant SH; Wang Y
    Brief Bioinform; 2019 Jul; 20(4):1465-1474. PubMed ID: 29420684
    [TBL] [Abstract][Full Text] [Related]  

  • 18. BiRWDDA: A Novel Drug Repositioning Method Based on Multisimilarity Fusion.
    Yan CK; Wang WX; Zhang G; Wang JL; Patel A
    J Comput Biol; 2019 Nov; 26(11):1230-1242. PubMed ID: 31140857
    [No Abstract]   [Full Text] [Related]  

  • 19. Heter-LP: A heterogeneous label propagation algorithm and its application in drug repositioning.
    Lotfi Shahreza M; Ghadiri N; Mousavi SR; Varshosaz J; Green JR
    J Biomed Inform; 2017 Apr; 68():167-183. PubMed ID: 28300647
    [TBL] [Abstract][Full Text] [Related]  

  • 20. LRSSL: predict and interpret drug-disease associations based on data integration using sparse subspace learning.
    Liang X; Zhang P; Yan L; Fu Y; Peng F; Qu L; Shao M; Chen Y; Chen Z
    Bioinformatics; 2017 Apr; 33(8):1187-1196. PubMed ID: 28096083
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.