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 *

181 related articles for article (PubMed ID: 32086220)

  • 1. 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]  

  • 2. 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]  

  • 3. Sparse robust graph-regularized non-negative matrix factorization based on correntropy.
    Wang CY; Gao YL; Liu JX; Dai LY; Shang J
    J Bioinform Comput Biol; 2021 Feb; 19(1):2050047. PubMed ID: 33410727
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Sparse Graph Regularization Non-Negative Matrix Factorization Based on Huber Loss Model for Cancer Data Analysis.
    Wang CY; Liu JX; Yu N; Zheng CH
    Front Genet; 2019; 10():1054. PubMed ID: 31824556
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. A Robust Manifold Graph Regularized Nonnegative Matrix Factorization Algorithm for Cancer Gene Clustering.
    Zhu R; Liu JX; Zhang YK; Guo Y
    Molecules; 2017 Dec; 22(12):. PubMed ID: 29207477
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Cauchy hyper-graph Laplacian nonnegative matrix factorization for single-cell RNA-sequencing data analysis.
    Wang GF; Shen L
    BMC Bioinformatics; 2024 Apr; 25(1):169. PubMed ID: 38684942
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification.
    Ren LR; Gao YL; Liu JX; Shang J; Zheng CH
    BMC Bioinformatics; 2020 Oct; 21(1):445. PubMed ID: 33028187
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization.
    Wu Q; Wang Z; Li C; Ye Y; Li Y; Sun N
    BMC Syst Biol; 2015; 9 Suppl 1(Suppl 1):S9. PubMed ID: 25708164
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Graph Regularized Nonnegative Matrix Factorization for Data Representation.
    Cai D; He X; Han J; Huang TS
    IEEE Trans Pattern Anal Mach Intell; 2011 Aug; 33(8):1548-60. PubMed ID: 21173440
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Nonparametric Tikhonov Regularized NMF and Its Application in Cancer Clustering.
    Mirzal A
    IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(6):1208-17. PubMed ID: 26357056
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Microbe-disease associations prediction by graph regularized non-negative matrix factorization with
    Chen Z; Zhang L; Li J; Chen H
    J Cell Mol Med; 2024 Sep; 28(17):e18553. PubMed ID: 39239860
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.
    Liu JX; Wang D; Gao YL; Zheng CH; Xu Y; Yu J
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(3):974-987. PubMed ID: 28186906
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.