BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

373 related articles for article (PubMed ID: 29508300)

  • 1. Single-Cell Transcriptome Analysis Using SINCERA Pipeline.
    Guo M; Xu Y
    Methods Mol Biol; 2018; 1751():209-222. PubMed ID: 29508300
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis.
    Guo M; Wang H; Potter SS; Whitsett JA; Xu Y
    PLoS Comput Biol; 2015 Nov; 11(11):e1004575. PubMed ID: 26600239
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Bioinformatics Pipeline for the Identification of CHO Cell Differential Gene Expression from RNA-Seq Data.
    Monger C; Motheramgari K; McSharry J; Barron N; Clarke C
    Methods Mol Biol; 2017; 1603():169-186. PubMed ID: 28493130
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data.
    Mah CK; Wenzel AT; Juarez EF; Tabor T; Reich MM; Mesirov JP
    F1000Res; 2018; 7():1306. PubMed ID: 31316748
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of Cell Types from Single-Cell Transcriptomic Data.
    Shekhar K; Menon V
    Methods Mol Biol; 2019; 1935():45-77. PubMed ID: 30758819
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SPARTA: Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis.
    Johnson BK; Scholz MB; Teal TK; Abramovitch RB
    BMC Bioinformatics; 2016 Feb; 17():66. PubMed ID: 26847232
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Single-Cell RNA-Seq Samples.
    Zambelli F; Pavesi G
    Methods Mol Biol; 2021; 2284():77-96. PubMed ID: 33835439
    [TBL] [Abstract][Full Text] [Related]  

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

  • 10. Falco: a quick and flexible single-cell RNA-seq processing framework on the cloud.
    Yang A; Troup M; Lin P; Ho JW
    Bioinformatics; 2017 Mar; 33(5):767-769. PubMed ID: 28025200
    [TBL] [Abstract][Full Text] [Related]  

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

  • 12. READemption-a tool for the computational analysis of deep-sequencing-based transcriptome data.
    Förstner KU; Vogel J; Sharma CM
    Bioinformatics; 2014 Dec; 30(23):3421-3. PubMed ID: 25123900
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing.
    Kim B; Lee E; Kim JK
    Methods Mol Biol; 2019; 1935():25-43. PubMed ID: 30758818
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Shiny-Seq: advanced guided transcriptome analysis.
    Sundararajan Z; Knoll R; Hombach P; Becker M; Schultze JL; Ulas T
    BMC Res Notes; 2019 Jul; 12(1):432. PubMed ID: 31319888
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Pseudotime Reconstruction Using TSCAN.
    Ji Z; Ji H
    Methods Mol Biol; 2019; 1935():115-124. PubMed ID: 30758823
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Guide for Designing and Analyzing RNA-Seq Data.
    Chatterjee A; Ahn A; Rodger EJ; Stockwell PA; Eccles MR
    Methods Mol Biol; 2018; 1783():35-80. PubMed ID: 29767357
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Single-Cell Transcriptome Analysis of T Cells.
    Van Der Byl W; Rizzetto S; Samir J; Cai C; Eltahla AA; Luciani F
    Methods Mol Biol; 2019; 2048():155-205. PubMed ID: 31396939
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating Differentiation Potency of Single Cells Using Single-Cell Entropy (SCENT).
    Chen W; Teschendorff AE
    Methods Mol Biol; 2019; 1935():125-139. PubMed ID: 30758824
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.