BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

224 related articles for article (PubMed ID: 31856667)

  • 1. Graph kernels combined with the neural network on protein classification.
    Qiangrong J; Guang Q
    J Bioinform Comput Biol; 2019 Oct; 17(5):1950030. PubMed ID: 31856667
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A novel graph kernel on chemical compound classification.
    Jiang Q; Ma J
    J Bioinform Comput Biol; 2018 Dec; 16(6):1850026. PubMed ID: 30567474
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting Drug-Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation.
    Lim J; Ryu S; Park K; Choe YJ; Ham J; Kim WY
    J Chem Inf Model; 2019 Sep; 59(9):3981-3988. PubMed ID: 31443612
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Novel kernels for error-tolerant graph classification.
    Neuhaus M; Riesen K; Bunke H
    Spat Vis; 2009; 22(5):425-41. PubMed ID: 19814905
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature.
    Zhang Y; Wu HY; Xu J; Wang J; Soysal E; Li L; Xu H
    BMC Syst Biol; 2016 Aug; 10 Suppl 3(Suppl 3):67. PubMed ID: 27585838
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Graph wavelet alignment kernels for drug virtual screening.
    Smalter A; Huan J; Lushington G
    J Bioinform Comput Biol; 2009 Jun; 7(3):473-97. PubMed ID: 19507286
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Dual graph convolutional neural network for predicting chemical networks.
    Harada S; Akita H; Tsubaki M; Baba Y; Takigawa I; Yamanishi Y; Kashima H
    BMC Bioinformatics; 2020 Apr; 21(Suppl 3):94. PubMed ID: 32321421
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Exploiting graph kernels for high performance biomedical relation extraction.
    Panyam NC; Verspoor K; Cohn T; Ramamohanarao K
    J Biomed Semantics; 2018 Jan; 9(1):7. PubMed ID: 29382397
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Learned random-walk kernels and empirical-map kernels for protein sequence classification.
    Min R; Bonner A; Li J; Zhang Z
    J Comput Biol; 2009 Mar; 16(3):457-74. PubMed ID: 19254184
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Protein function prediction via graph kernels.
    Borgwardt KM; Ong CS; Schönauer S; Vishwanathan SV; Smola AJ; Kriegel HP
    Bioinformatics; 2005 Jun; 21 Suppl 1():i47-56. PubMed ID: 15961493
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Classifying Dissemination Processes in Temporal Graphs.
    Oettershagen L; Kriege NM; Morris C; Mutzel P
    Big Data; 2020 Oct; 8(5):363-378. PubMed ID: 33090027
    [TBL] [Abstract][Full Text] [Related]  

  • 12. graphkernels: R and Python packages for graph comparison.
    Sugiyama M; Ghisu ME; Llinares-López F; Borgwardt K
    Bioinformatics; 2018 Feb; 34(3):530-532. PubMed ID: 29028902
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures.
    Shtar G; Rokach L; Shapira B
    PLoS One; 2019; 14(8):e0219796. PubMed ID: 31369568
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrating multi-attribute similarity networks for robust representation of the protein space.
    Camoglu O; Can T; Singh AK
    Bioinformatics; 2006 Jul; 22(13):1585-92. PubMed ID: 16595556
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds.
    Lei H; Akhtar N; Mian A
    IEEE Trans Pattern Anal Mach Intell; 2021 Oct; 43(10):3664-3680. PubMed ID: 32248091
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Graph wavelet alignment kernels for drug virtual screening.
    Smalter A; Huan J; Lushington G
    Comput Syst Bioinformatics Conf; 2008; 7():327-38. PubMed ID: 19642292
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Context-Dependent Random Walk Graph Kernels and Tree Pattern Graph Matching Kernels with Applications to Action Recognition.
    Hu W; Wu B; Wang P; Yuan C; Li Y; Maybank S
    IEEE Trans Image Process; 2018 Jun; ():. PubMed ID: 29994476
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Comprehensive Evaluation of Graph Kernels for Unattributed Graphs.
    Zhang Y; Wang L; Wang L
    Entropy (Basel); 2018 Dec; 20(12):. PubMed ID: 33266707
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Atom environment kernels on molecules.
    Yamashita H; Higuchi T; Yoshida R
    J Chem Inf Model; 2014 May; 54(5):1289-300. PubMed ID: 24802375
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification.
    Fouss F; Francoisse K; Yen L; Pirotte A; Saerens M
    Neural Netw; 2012 Jul; 31():53-72. PubMed ID: 22497802
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.