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 *

139 related articles for article (PubMed ID: 34925501)

  • 1. One-Step Robust Low-Rank Subspace Segmentation for Tumor Sample Clustering.
    Liu J; Cheng Y; Wang X; Ge S
    Comput Intell Neurosci; 2021; 2021():9990297. PubMed ID: 34925501
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Low Rank Subspace Clustering via Discrete Constraint and Hypergraph Regularization for Tumor Molecular Pattern Discovery.
    Liu J; Cheng Y; Wang X; Cui X; Kong Y; Du J
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(5):1500-1512. PubMed ID: 29993749
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.
    Wang J; Lu CH; Kong XZ; Dai LY; Yuan S; Zhang X
    BMC Bioinformatics; 2022 Jan; 22(Suppl 12):334. PubMed ID: 35057729
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Joint feature selection and optimal bipartite graph learning for subspace clustering.
    Mei S; Zhao W; Gao Q; Yang M; Gao X
    Neural Netw; 2023 Jul; 164():408-418. PubMed ID: 37182344
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.
    Wang J; Lu CH; Liu JX; Dai LY; Kong XZ
    BMC Bioinformatics; 2019 Dec; 20(Suppl 22):718. PubMed ID: 31888442
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework.
    Chun-Guang Li ; Chong You ; Vidal R
    IEEE Trans Image Process; 2017 Jun; 26(6):2988-3001. PubMed ID: 28410106
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Human Motion Segmentation via Robust Kernel Sparse Subspace Clustering.
    Xia G; Sun H; Feng L; Zhang G; Liu Y
    IEEE Trans Image Process; 2018 Jan.; 27(1):135-150. PubMed ID: 28809685
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Sparse subspace clustering for data with missing entries and high-rank matrix completion.
    Fan J; Chow TWS
    Neural Netw; 2017 Sep; 93():36-44. PubMed ID: 28531874
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint.
    Lu GF; Yu QR; Wang Y; Tang G
    Neural Netw; 2020 May; 125():214-223. PubMed ID: 32146353
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Laplacian regularized low-rank representation for cancer samples clustering.
    Wang J; Liu JX; Kong XZ; Yuan SS; Dai LY
    Comput Biol Chem; 2019 Feb; 78():504-509. PubMed ID: 30528509
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis.
    Qiao TJ; Liu JX; Shang J; Yuan S; Zheng CH; Wang J
    IEEE J Biomed Health Inform; 2023 May; 27(5):2575-2584. PubMed ID: 37027680
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Robust auto-weighted multi-view subspace clustering with common subspace representation matrix.
    Zhuge W; Hou C; Jiao Y; Yue J; Tao H; Yi D
    PLoS One; 2017; 12(5):e0176769. PubMed ID: 28542234
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation.
    Fang X; Xu Y; Li X; Lai Z; Wong WK
    IEEE Trans Cybern; 2016 Aug; 46(8):1828-38. PubMed ID: 26259210
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust multi-view subspace clustering based on consensus representation and orthogonal diversity.
    Zhao N; Bu J
    Neural Netw; 2022 Jun; 150():102-111. PubMed ID: 35306462
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor.
    Tang Y; Xie Y; Zhang W
    IEEE Trans Pattern Anal Mach Intell; 2023 Aug; 45(8):9357-9373. PubMed ID: 37028386
    [TBL] [Abstract][Full Text] [Related]  

  • 16. LogDet Rank Minimization with Application to Subspace Clustering.
    Kang Z; Peng C; Cheng J; Cheng Q
    Comput Intell Neurosci; 2015; 2015():824289. PubMed ID: 26229527
    [TBL] [Abstract][Full Text] [Related]  

  • 17. SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints.
    Zhang NN; Liu JX; Zheng CH; Wang J
    IEEE J Biomed Health Inform; 2022 Jul; 26(7):3556-3566. PubMed ID: 35120014
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robust recovery of subspace structures by low-rank representation.
    Liu G; Lin Z; Yan S; Sun J; Yu Y; Ma Y
    IEEE Trans Pattern Anal Mach Intell; 2013 Jan; 35(1):171-84. PubMed ID: 22487984
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Selective Update of Relevant Eigenspaces for Integrative Clustering of Multimodal Data.
    Khan A; Maji P
    IEEE Trans Cybern; 2022 Feb; 52(2):947-959. PubMed ID: 32452799
    [TBL] [Abstract][Full Text] [Related]  

  • 20. KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification.
    Wang LP; Liu JX; Shang JL; Kong XZ; Guan BX; Wang J
    Comput Biol Chem; 2023 Jun; 104():107862. PubMed ID: 37031647
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.