BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

189 related articles for article (PubMed ID: 31603802)

  • 1. Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation.
    Meng Y; Shang R; Shang F; Jiao L; Yang S; Stolkin R
    IEEE Trans Neural Netw Learn Syst; 2020 Sep; 31(9):3245-3258. PubMed ID: 31603802
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Deep Matrix Factorization Method for Learning Attribute Representations.
    Trigeorgis G; Bousmalis K; Zafeiriou S; Schuller BW
    IEEE Trans Pattern Anal Mach Intell; 2017 Mar; 39(3):417-429. PubMed ID: 28113886
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.
    Jiao CN; Gao YL; Yu N; Liu JX; Qi LY
    IEEE J Biomed Health Inform; 2020 Oct; 24(10):3002-3011. PubMed ID: 32086224
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification.
    Wang CY; Yu N; Wu MJ; Gao YL; Liu JX; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2375-2383. PubMed ID: 32086220
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Data representation using robust nonnegative matrix factorization for edge computing.
    Yang Q; Chen J; Al-Nabhan N
    Math Biosci Eng; 2022 Jan; 19(2):2147-2178. PubMed ID: 35135245
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Robust Bi-Stochastic Graph Regularized Matrix Factorization for Data Clustering.
    Wang Q; He X; Jiang X; Li X
    IEEE Trans Pattern Anal Mach Intell; 2022 Jan; 44(1):390-403. PubMed ID: 32750807
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semi-Supervised Nonnegative Matrix Factorization via Constraint Propagation.
    Wang D; Gao X; Wang X
    IEEE Trans Cybern; 2016 Jan; 46(1):233-44. PubMed ID: 25706980
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized Nonnegative Matrix Factorization.
    Wu W; Kwong S; Hou J; Jia Y; Ip HHS
    IEEE Trans Image Process; 2019 Aug; 28(8):3836-3847. PubMed ID: 30908225
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Robust hypergraph regularized non-negative matrix factorization for sample clustering and feature selection in multi-view gene expression data.
    Yu N; Gao YL; Liu JX; Wang J; Shang J
    Hum Genomics; 2019 Oct; 13(Suppl 1):46. PubMed ID: 31639067
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
    Enguehard J; O'Halloran P; Gholipour A
    IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust capped norm dual hyper-graph regularized non-negative matrix tri-factorization.
    Yu J; Pan B; Yu S; Leung MF
    Math Biosci Eng; 2023 May; 20(7):12486-12509. PubMed ID: 37501452
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Convex nonnegative matrix factorization with manifold regularization.
    Hu W; Choi KS; Wang P; Jiang Y; Wang S
    Neural Netw; 2015 Mar; 63():94-103. PubMed ID: 25523040
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Nonnegative Matrix Factorization with Rank Regularization and Hard Constraint.
    Shang R; Liu C; Meng Y; Jiao L; Stolkin R
    Neural Comput; 2017 Sep; 29(9):2553-2579. PubMed ID: 28777717
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Non-Negative Matrix Factorization Architecture Based on Underlying Basis Images Learning.
    Zhao Y; Wang H; Pei J
    IEEE Trans Pattern Anal Mach Intell; 2021 Jun; 43(6):1897-1913. PubMed ID: 31899412
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data.
    Yu N; Wu MJ; Liu JX; Zheng CH; Xu Y
    IEEE Trans Cybern; 2021 Aug; 51(8):3952-3963. PubMed ID: 32603306
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Graph Regularized Non-Negative Low-Rank Matrix Factorization for Image Clustering.
    Li X; Cui G; Dong Y
    IEEE Trans Cybern; 2017 Nov; 47(11):3840-3853. PubMed ID: 27448379
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Semi-Supervised Non-Negative Matrix Factorization With Dissimilarity and Similarity Regularization.
    Jia Y; Kwong S; Hou J; Wu W
    IEEE Trans Neural Netw Learn Syst; 2020 Jul; 31(7):2510-2521. PubMed ID: 31484134
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Laplacian Regularized Low-Rank Representation and Its Applications.
    Yin M; Gao J; Lin Z
    IEEE Trans Pattern Anal Mach Intell; 2016 Mar; 38(3):504-17. PubMed ID: 27046494
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization.
    Huang H; Zhou G; Zhao Q; He L; Xie S
    IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):5953-5967. PubMed ID: 37672378
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hessian regularization based non-negative matrix factorization for gene expression data clustering.
    Liu X; Shi J; Wang C
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4130-3. PubMed ID: 26737203
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.