scQCEA a framework for annotation and quality control report of single-cell RNA-sequencing data

被引:0
|
作者
Nassiri, Isar [1 ]
Fairfax, Benjamin [2 ]
Lee, Angela [1 ]
Wu, Yanxia [1 ]
Buck, David [1 ]
Piazza, Paolo [1 ]
机构
[1] Univ Oxford, Nuffield Dept Med, Oxford Genom Ctr, Wellcome Ctr Human Genet, Oxford, England
[2] Univ Oxford, MRC Inst Mol Med, Oxford, England
关键词
D O I
暂无
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
P18.001.A
引用
收藏
页码:649 / 649
页数:1
相关论文
共 50 条
  • [41] scAnno: a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets
    Liu, Hongjia
    Li, Huamei
    Sharma, Amit
    Huang, Wenjuan
    Pan, Duo
    Gu, Yu
    Lin, Lu
    Sun, Xiao
    Liu, Hongde
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (03)
  • [42] Quantitative assessment of single-cell RNA-sequencing methods
    Angela R Wu
    Norma F Neff
    Tomer Kalisky
    Piero Dalerba
    Barbara Treutlein
    Michael E Rothenberg
    Francis M Mburu
    Gary L Mantalas
    Sopheak Sim
    Michael F Clarke
    Stephen R Quake
    Nature Methods, 2014, 11 : 41 - 46
  • [43] Power analysis of single-cell RNA-sequencing experiments
    Svensson, Valentine
    Natarajan, Kedar Nath
    Ly, Lam-Ha
    Miragaia, Ricardo J.
    Labalette, Charlotte
    Macaulay, Iain C.
    Cvejic, Ana
    Teichmann, Sarah A.
    NATURE METHODS, 2017, 14 (04) : 381 - +
  • [44] A Data-Driven Clustering Recommendation Method for Single-Cell RNA-Sequencing Data
    Tian, Yu
    Zheng, Ruiqing
    Liang, Zhenlan
    Li, Suning
    Wu, Fang-Xiang
    Li, Min
    TSINGHUA SCIENCE AND TECHNOLOGY, 2021, 26 (05) : 772 - 789
  • [45] Power analysis of single-cell RNA-sequencing experiments
    Valentine Svensson
    Kedar Nath Natarajan
    Lam-Ha Ly
    Ricardo J Miragaia
    Charlotte Labalette
    Iain C Macaulay
    Ana Cvejic
    Sarah A Teichmann
    Nature Methods, 2017, 14 : 381 - 387
  • [46] A Data-Driven Clustering Recommendation Method for Single-Cell RNA-Sequencing Data
    Yu Tian
    Ruiqing Zheng
    Zhenlan Liang
    Suning Li
    Fang-Xiang Wu
    Min Li
    TsinghuaScienceandTechnology, 2021, 26 (05) : 772 - 789
  • [47] Clustering single-cell rna-sequencing data based on matching clusters structures
    Wang, Yizhang
    Zhou, You
    Pang, Wie
    Liang, Yanchun
    Wang, Shu
    Tehnicki Vjesnik, 2020, 27 (01): : 89 - 95
  • [48] Recovery of missing single-cell RNA-sequencing data with optimized transcriptomic references
    Pool, Allan-Hermann
    Poldsam, Helen
    Chen, Sisi
    Thomson, Matt
    Oka, Yuki
    NATURE METHODS, 2023, 20 (10) : 1506 - +
  • [49] Identifying and removing the cellcycle effect from single-cell RNA-Sequencing data
    Barron, Martin
    Li, Jun
    SCIENTIFIC REPORTS, 2016, 6
  • [50] Expression variation analysis for tumor heterogeneity in single-cell RNA-sequencing data
    Davis-Marcisak, Emily F.
    Orugunta, Pranay
    Stein-O'Brien, Genevieve
    Puram, Sidharth V.
    Torres, Evanthia Roussos
    Hopkins, Alexander
    Jaffee, Elizabeth M.
    Favorov, Alexander V.
    Afsari, Bahman
    Goff, Loyal A.
    Fertig, Elana J.
    CANCER RESEARCH, 2019, 79 (13)