BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

769 related articles for article (PubMed ID: 33367645)

  • 1. SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data.
    Young MD; Behjati S
    Gigascience; 2020 Dec; 9(12):. PubMed ID: 33367645
    [TBL] [Abstract][Full Text] [Related]  

  • 2. FastCAR: fast correction for ambient RNA to facilitate differential gene expression analysis in single-cell RNA-sequencing datasets.
    Berg M; Petoukhov I; van den Ende I; Meyer KB; Guryev V; Vonk JM; Carpaij O; Banchero M; Hendriks RW; van den Berge M; Nawijn MC
    BMC Genomics; 2023 Nov; 24(1):722. PubMed ID: 38030970
    [TBL] [Abstract][Full Text] [Related]  

  • 3. DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data.
    Sun Z; Wang T; Deng K; Wang XF; Lafyatis R; Ding Y; Hu M; Chen W
    Bioinformatics; 2018 Jan; 34(1):139-146. PubMed ID: 29036318
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SiftCell: A robust framework to detect and isolate cell-containing droplets from single-cell RNA sequence reads.
    Xi J; Park SR; Lee JH; Kang HM
    Cell Syst; 2023 Jul; 14(7):620-628.e3. PubMed ID: 37473732
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Decontamination of ambient RNA in single-cell RNA-seq with DecontX.
    Yang S; Corbett SE; Koga Y; Wang Z; Johnson WE; Yajima M; Campbell JD
    Genome Biol; 2020 Mar; 21(1):57. PubMed ID: 32138770
    [TBL] [Abstract][Full Text] [Related]  

  • 6. ddSeeker: a tool for processing Bio-Rad ddSEQ single cell RNA-seq data.
    Romagnoli D; Boccalini G; Bonechi M; Biagioni C; Fassan P; Bertorelli R; De Sanctis V; Di Leo A; Migliaccio I; Malorni L; Benelli M
    BMC Genomics; 2018 Dec; 19(1):960. PubMed ID: 30583719
    [TBL] [Abstract][Full Text] [Related]  

  • 7. scCDC: a computational method for gene-specific contamination detection and correction in single-cell and single-nucleus RNA-seq data.
    Wang W; Cen Y; Lu Z; Xu Y; Sun T; Xiao Y; Liu W; Li JJ; Wang C
    Genome Biol; 2024 May; 25(1):136. PubMed ID: 38783325
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The effect of background noise and its removal on the analysis of single-cell expression data.
    Janssen P; Kliesmete Z; Vieth B; Adiconis X; Simmons S; Marshall J; McCabe C; Heyn H; Levin JZ; Enard W; Hellmann I
    Genome Biol; 2023 Jun; 24(1):140. PubMed ID: 37337297
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hydrop enables droplet-based single-cell ATAC-seq and single-cell RNA-seq using dissolvable hydrogel beads.
    De Rop FV; Ismail JN; Bravo González-Blas C; Hulselmans GJ; Flerin CC; Janssens J; Theunis K; Christiaens VM; Wouters J; Marcassa G; de Wit J; Poovathingal S; Aerts S
    Elife; 2022 Feb; 11():. PubMed ID: 35195064
    [TBL] [Abstract][Full Text] [Related]  

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

  • 11. 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]  

  • 12. Analysis of Single-Cell Transcriptome Data in Drosophila.
    Yousefian S; Musillo MJ; Bageritz J
    Methods Mol Biol; 2022; 2540():93-111. PubMed ID: 35980574
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. CoolMPS for robust sequencing of single-nuclear RNAs captured by droplet-based method.
    Hahn O; Fehlmann T; Zhang H; Munson CN; Vest RT; Borcherding A; Liu S; Villarosa C; Drmanac S; Drmanac R; Keller A; Wyss-Coray T
    Nucleic Acids Res; 2021 Jan; 49(2):e11. PubMed ID: 33264392
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Single-Cell RNA Sequencing Technology Landscape in 2023.
    Qu HQ; Kao C; Hakonarson H
    Stem Cells; 2024 Jan; 42(1):1-12. PubMed ID: 37934608
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Propensity score matching enables batch-effect-corrected imputation in single-cell RNA-seq analysis.
    Xu X; Yu X; Hu G; Wang K; Zhang J; Li X
    Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35821114
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparative Analysis of Droplet-Based Ultra-High-Throughput Single-Cell RNA-Seq Systems.
    Zhang X; Li T; Liu F; Chen Y; Yao J; Li Z; Huang Y; Wang J
    Mol Cell; 2019 Jan; 73(1):130-142.e5. PubMed ID: 30472192
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Single nucleus RNA-sequencing: how it's done, applications and limitations.
    Fischer J; Ayers T
    Emerg Top Life Sci; 2021 Nov; 5(5):687-690. PubMed ID: 34515767
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies.
    Sun Z; Chen L; Xin H; Jiang Y; Huang Q; Cillo AR; Tabib T; Kolls JK; Bruno TC; Lafyatis R; Vignali DAA; Chen K; Ding Y; Hu M; Chen W
    Nat Commun; 2019 Apr; 10(1):1649. PubMed ID: 30967541
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 39.