BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 34311752)

  • 1. Enabling reproducible re-analysis of single-cell data.
    Skinnider MA; Squair JW; Courtine G
    Genome Biol; 2021 Jul; 22(1):215. PubMed ID: 34311752
    [No Abstract]   [Full Text] [Related]  

  • 2. Normalization of Single-Cell RNA-Seq Data.
    Risso D
    Methods Mol Biol; 2021; 2284():303-329. PubMed ID: 33835450
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computational Analysis of Single-Cell RNA-Seq Data.
    Alessandrì L; Cordero F; Beccuti M; Arigoni M; Calogero RA
    Methods Mol Biol; 2021; 2284():289-301. PubMed ID: 33835449
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Sequence meets space.
    Nawy T
    Nat Methods; 2018 Dec; 15(12):1000. PubMed ID: 30504867
    [No Abstract]   [Full Text] [Related]  

  • 5. Normalizing single-cell RNA sequencing data: challenges and opportunities.
    Vallejos CA; Risso D; Scialdone A; Dudoit S; Marioni JC
    Nat Methods; 2017 Jun; 14(6):565-571. PubMed ID: 28504683
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Rare Cell Type Detection.
    Jiang L
    Methods Mol Biol; 2019; 1935():79-89. PubMed ID: 30758820
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Challenges in unsupervised clustering of single-cell RNA-seq data.
    Kiselev VY; Andrews TS; Hemberg M
    Nat Rev Genet; 2019 May; 20(5):273-282. PubMed ID: 30617341
    [TBL] [Abstract][Full Text] [Related]  

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

  • 9. Cell lineage inference from SNP and scRNA-Seq data.
    Ding J; Lin C; Bar-Joseph Z
    Nucleic Acids Res; 2019 Jun; 47(10):e56. PubMed ID: 30820578
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bias, robustness and scalability in single-cell differential expression analysis.
    Soneson C; Robinson MD
    Nat Methods; 2018 Apr; 15(4):255-261. PubMed ID: 29481549
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Single-cell sequencing techniques from individual to multiomics analyses.
    Kashima Y; Sakamoto Y; Kaneko K; Seki M; Suzuki Y; Suzuki A
    Exp Mol Med; 2020 Sep; 52(9):1419-1427. PubMed ID: 32929221
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The promise of single-cell RNA sequencing for kidney disease investigation.
    Wu H; Humphreys BD
    Kidney Int; 2017 Dec; 92(6):1334-1342. PubMed ID: 28893418
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data.
    Song D; Li JJ
    Genome Biol; 2021 Apr; 22(1):124. PubMed ID: 33926517
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Data denoising with transfer learning in single-cell transcriptomics.
    Wang J; Agarwal D; Huang M; Hu G; Zhou Z; Ye C; Zhang NR
    Nat Methods; 2019 Sep; 16(9):875-878. PubMed ID: 31471617
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Lineage Inference and Stem Cell Identity Prediction Using Single-Cell RNA-Sequencing Data.
    Sagar ; GrĂ¼n D
    Methods Mol Biol; 2019; 1975():277-301. PubMed ID: 31062315
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Microfluidic single-cell whole-transcriptome sequencing.
    Streets AM; Zhang X; Cao C; Pang Y; Wu X; Xiong L; Yang L; Fu Y; Zhao L; Tang F; Huang Y
    Proc Natl Acad Sci U S A; 2014 May; 111(19):7048-53. PubMed ID: 24782542
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq.
    Li B; Gould J; Yang Y; Sarkizova S; Tabaka M; Ashenberg O; Rosen Y; Slyper M; Kowalczyk MS; Villani AC; Tickle T; Hacohen N; Rozenblatt-Rosen O; Regev A
    Nat Methods; 2020 Aug; 17(8):793-798. PubMed ID: 32719530
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Cell-level metadata are indispensable for documenting single-cell sequencing datasets.
    Puntambekar S; Hesselberth JR; Riemondy KA; Fu R
    PLoS Biol; 2021 May; 19(5):e3001077. PubMed ID: 33945522
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Design and computational analysis of single-cell RNA-sequencing experiments.
    Bacher R; Kendziorski C
    Genome Biol; 2016 Apr; 17():63. PubMed ID: 27052890
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.