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 *

642 related articles for article (PubMed ID: 30779739)

  • 1. A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications.
    Peng H; Zeng X; Zhou Y; Zhang D; Nussinov R; Cheng F
    PLoS Comput Biol; 2019 Feb; 15(2):e1006772. PubMed ID: 30779739
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database.
    Zappia L; Phipson B; Oshlack A
    PLoS Comput Biol; 2018 Jun; 14(6):e1006245. PubMed ID: 29939984
    [TBL] [Abstract][Full Text] [Related]  

  • 3. scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering.
    Wang Y; Yu Z; Li S; Bian C; Liang Y; Wong KC; Li X
    Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36734596
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning and statistical methods for clustering single-cell RNA-sequencing data.
    Petegrosso R; Li Z; Kuang R
    Brief Bioinform; 2020 Jul; 21(4):1209-1223. PubMed ID: 31243426
    [TBL] [Abstract][Full Text] [Related]  

  • 5. scNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq data.
    Ye W; Ji G; Ye P; Long Y; Xiao X; Li S; Su Y; Wu X
    BMC Genomics; 2019 May; 20(1):347. PubMed ID: 31068142
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Data Analysis in Single-Cell Transcriptome Sequencing.
    Gao S
    Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Learning deep features and topological structure of cells for clustering of scRNA-sequencing data.
    Wang H; Ma X
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35302164
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview.
    Slovin S; Carissimo A; Panariello F; Grimaldi A; Bouché V; Gambardella G; Cacchiarelli D
    Methods Mol Biol; 2021; 2284():343-365. PubMed ID: 33835452
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. DTWscore: differential expression and cell clustering analysis for time-series single-cell RNA-seq data.
    Wang Z; Jin S; Liu G; Zhang X; Wang N; Wu D; Hu Y; Zhang C; Jiang Q; Xu L; Wang Y
    BMC Bioinformatics; 2017 May; 18(1):270. PubMed ID: 28535748
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones.
    Müller S; Cho A; Liu SJ; Lim DA; Diaz A
    Bioinformatics; 2018 Sep; 34(18):3217-3219. PubMed ID: 29897414
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. GE-Impute: graph embedding-based imputation for single-cell RNA-seq data.
    Wu X; Zhou Y
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35901457
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Network-Based Structural Learning Nonnegative Matrix Factorization Algorithm for Clustering of scRNA-Seq Data.
    Wu W; Ma X
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):566-575. PubMed ID: 35316190
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Single-Cell Transcriptomics of Immune Cells: Cell Isolation and cDNA Library Generation for scRNA-Seq.
    Arsenio J
    Methods Mol Biol; 2020; 2184():1-18. PubMed ID: 32808214
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying cell types to interpret scRNA-seq data: how, why and more possibilities.
    Wang Z; Ding H; Zou Q
    Brief Funct Genomics; 2020 Jul; 19(4):286-291. PubMed ID: 32232401
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters.
    Domanskyi S; Szedlak A; Hawkins NT; Wang J; Paternostro G; Piermarocchi C
    BMC Bioinformatics; 2019 Jul; 20(1):369. PubMed ID: 31262249
    [TBL] [Abstract][Full Text] [Related]  

  • 20. LINEAGE: Label-free identification of endogenous informative single-cell mitochondrial RNA mutation for lineage analysis.
    Lin L; Zhang Y; Qian W; Liu Y; Zhang Y; Lin F; Liu C; Lu G; Sun D; Guo X; Song Y; Song J; Yang C; Li J
    Proc Natl Acad Sci U S A; 2022 Feb; 119(5):. PubMed ID: 35086932
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 33.