Processing single-cell RNA-seq data for dimension reduction-based analyses using open-source tools

被引：6

作者：

Chen, Bob ^{[1
,2
,4
]}

Ramirez-Solano, Marisol A. ^{[3
]}

Heiser, Cody N. ^{[1
,2
]}

Liu, Qi ^{[3
]}

Lau, Ken S. ^{[2
,5
,6
]}

机构：

[1] Vanderbilt Univ, Program Chem & Phys Biol, Sch Med, Nashville, TN 37232 USA

[2] Vanderbilt Univ, Epithelial Biol Ctr, Med Ctr, Nashville, TN 37232 USA

[3] Vanderbilt Univ, Med Ctr, Dept Biostat, Nashville, TN USA

[4] Vanderbilt Univ, Ctr Quantitat Sci, Med Ctr, Nashville, TN 37232 USA

[5] Vanderbilt Univ, Dept Cell & Dev Biol, Sch Med, Nashville, TN 37232 USA

[6] Vanderbilt Ingram Canc Ctr, Nashville, TN 37232 USA

来源：

STAR PROTOCOLS | 2021年 / 2卷 / 02期

基金：

美国国家卫生研究院;

关键词：

Bioinformatics; RNA-seq;

D O I：

10.1016/j.xpro.2021.100450

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Single-cell RNA sequencing at interpretable results. shops"for data analysis, analyses and are often inflexible there is no universal solution tive encapsulated cellular we demonstrate a full data source software, including For details

引用

页数：30

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