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 *

537 related articles for article (PubMed ID: 21893517)

  • 21. Drug-Target Interaction Prediction Based on Multisource Information Weighted Fusion.
    Liu S; An J; Zhao J; Zhao S; Lv H; Wang S
    Contrast Media Mol Imaging; 2021; 2021():6044256. PubMed ID: 34908912
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization.
    Ammad-Ud-Din M; Khan SA; Malani D; Murumägi A; Kallioniemi O; Aittokallio T; Kaski S
    Bioinformatics; 2016 Sep; 32(17):i455-i463. PubMed ID: 27587662
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Predicting drug-target interactions by dual-network integrated logistic matrix factorization.
    Hao M; Bryant SH; Wang Y
    Sci Rep; 2017 Jan; 7():40376. PubMed ID: 28079135
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Identification of drug-target interaction from interactome network with 'guilt-by-association' principle and topology features.
    Li ZC; Huang MH; Zhong WQ; Liu ZQ; Xie Y; Dai Z; Zou XY
    Bioinformatics; 2016 Apr; 32(7):1057-64. PubMed ID: 26614126
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Learning a peptide-protein binding affinity predictor with kernel ridge regression.
    Giguère S; Marchand M; Laviolette F; Drouin A; Corbeil J
    BMC Bioinformatics; 2013 Mar; 14():82. PubMed ID: 23497081
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. 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]  

  • 29. Learning with multiple pairwise kernels for drug bioactivity prediction.
    Cichonska A; Pahikkala T; Szedmak S; Julkunen H; Airola A; Heinonen M; Aittokallio T; Rousu J
    Bioinformatics; 2018 Jul; 34(13):i509-i518. PubMed ID: 29949975
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Drug-target interaction prediction via class imbalance-aware ensemble learning.
    Ezzat A; Wu M; Li XL; Kwoh CK
    BMC Bioinformatics; 2016 Dec; 17(Suppl 19):509. PubMed ID: 28155697
    [TBL] [Abstract][Full Text] [Related]  

  • 31. An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network.
    Wang L; You ZH; Huang YA; Huang DS; Chan KCC
    Bioinformatics; 2020 Jul; 36(13):4038-4046. PubMed ID: 31793982
    [TBL] [Abstract][Full Text] [Related]  

  • 32. [Prediction of network drug target based on improved model of bipartite graph valuation].
    Liu X; Lu P; Zuo X; Chen J; Yang H; Yang Y; Gao Y
    Zhongguo Zhong Yao Za Zhi; 2012 Jan; 37(2):125-9. PubMed ID: 22737836
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Chemogenomic approaches to infer drug-target interaction networks.
    Yamanishi Y
    Methods Mol Biol; 2013; 939():97-113. PubMed ID: 23192544
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Drug-target interaction prediction using ensemble learning and dimensionality reduction.
    Ezzat A; Wu M; Li XL; Kwoh CK
    Methods; 2017 Oct; 129():81-88. PubMed ID: 28549952
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors.
    Cichonska A; Ravikumar B; Parri E; Timonen S; Pahikkala T; Airola A; Wennerberg K; Rousu J; Aittokallio T
    PLoS Comput Biol; 2017 Aug; 13(8):e1005678. PubMed ID: 28787438
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Drug-pathway interaction prediction via multiple feature fusion.
    Song M; Yan Y; Jiang Z
    Mol Biosyst; 2014 Nov; 10(11):2907-13. PubMed ID: 25122125
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Enhancing the accuracy of chemogenomic models with a three-dimensional binding site kernel.
    Meslamani J; Rognan D
    J Chem Inf Model; 2011 Jul; 51(7):1593-603. PubMed ID: 21644501
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Linear and Kernel Model Construction Methods for Predicting Drug-Target Interactions in a Chemogenomic Framework.
    Yamanishi Y
    Methods Mol Biol; 2018; 1825():355-368. PubMed ID: 30334213
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Drug-target interactions prediction using marginalized denoising model on heterogeneous networks.
    Tang C; Zhong C; Chen D; Wang J
    BMC Bioinformatics; 2020 Jul; 21(1):330. PubMed ID: 32703151
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 27.