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 *

443 related articles for article (PubMed ID: 34160582)

  • 1. Consensus clustering of single-cell RNA-seq data by enhancing network affinity.
    Cui Y; Zhang S; Liang Y; Wang X; Ferraro TN; Chen Y
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34160582
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Single-cell RNA-seq clustering: datasets, models, and algorithms.
    Peng L; Tian X; Tian G; Xu J; Huang X; Weng Y; Yang J; Zhou L
    RNA Biol; 2020 Jun; 17(6):765-783. PubMed ID: 32116127
    [TBL] [Abstract][Full Text] [Related]  

  • 3. JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing.
    Cui T; Wang T
    BMC Genomics; 2021 Jan; 22(1):47. PubMed ID: 33430769
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering.
    Xu Y; Li HD; Pan Y; Luo F; Wu FX; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):431-442. PubMed ID: 31369384
    [TBL] [Abstract][Full Text] [Related]  

  • 5. scDFN: enhancing single-cell RNA-seq clustering with deep fusion networks.
    Liu T; Jia C; Bi Y; Guo X; Zou Q; Li F
    Brief Bioinform; 2024 Sep; 25(6):. PubMed ID: 39373051
    [TBL] [Abstract][Full Text] [Related]  

  • 6. nsDCC: dual-level contrastive clustering with nonuniform sampling for scRNA-seq data analysis.
    Wang L; Li W; Zhou F; Yu K; Feng C; Zhao D
    Brief Bioinform; 2024 Sep; 25(6):. PubMed ID: 39327063
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clustering scRNA-seq data with the cross-view collaborative information fusion strategy.
    Lou Z; Wei X; Hu Y; Hu S; Wu Y; Tian Z
    Brief Bioinform; 2024 Sep; 25(6):. PubMed ID: 39402696
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa.
    Zhang H; Lee CAA; Li Z; Garbe JR; Eide CR; Petegrosso R; Kuang R; Tolar J
    PLoS Comput Biol; 2018 Apr; 14(4):e1006053. PubMed ID: 29630593
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An active learning approach for clustering single-cell RNA-seq data.
    Lin X; Liu H; Wei Z; Roy SB; Gao N
    Lab Invest; 2022 Mar; 102(3):227-235. PubMed ID: 34244616
    [TBL] [Abstract][Full Text] [Related]  

  • 10. scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation.
    Wang J; Xia J; Tan D; Lin R; Su Y; Zheng CH
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35136924
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Independent component analysis based gene co-expression network inference (ICAnet) to decipher functional modules for better single-cell clustering and batch integration.
    Wang W; Tan H; Sun M; Han Y; Chen W; Qiu S; Zheng K; Wei G; Ni T
    Nucleic Acids Res; 2021 May; 49(9):e54. PubMed ID: 33619563
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Contrastive self-supervised clustering of scRNA-seq data.
    Ciortan M; Defrance M
    BMC Bioinformatics; 2021 May; 22(1):280. PubMed ID: 34044773
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep embedded clustering with multiple objectives on scRNA-seq data.
    Li X; Zhang S; Wong KC
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33822877
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network.
    Gan Y; Huang X; Zou G; Zhou S; Guan J
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35172334
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Correlation Imputation for Single-Cell RNA-seq.
    Gan L; Vinci G; Allen GI
    J Comput Biol; 2022 May; 29(5):465-482. PubMed ID: 35325552
    [No Abstract]   [Full Text] [Related]  

  • 16. jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data.
    Wu W; Liu Z; Ma X
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33535230
    [TBL] [Abstract][Full Text] [Related]  

  • 17. ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data.
    Malec M; Kurban H; Dalkilic M
    BMC Bioinformatics; 2022 Jul; 23(1):291. PubMed ID: 35869420
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-Seq Data.
    Jiang H; Wang MN; Huang YA; Huang Y
    IEEE J Biomed Health Inform; 2024 Aug; 28(8):4986-4994. PubMed ID: 38787664
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Self-supervised deep clustering of single-cell RNA-seq data to hierarchically detect rare cell populations.
    Lei T; Chen R; Zhang S; Chen Y
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37769630
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spectral clustering of single cells using Siamese nerual network combined with improved affinity matrix.
    Jiang H; Huang Y; Li Q
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35419595
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.