menu_book Explore the article's raw data

Normalization of Single-Cell RNA-Seq Data

Abstract

Normalization is an important step in the analysis of single-cell RNA-seq data. While no single method outperforms all others in all datasets, the choice of normalization can have profound impact on the results. Data-driven metrics can be used to rank normalization methods and select the best performers. Here, we show how to use R/Bioconductor to calculate normalization factors, apply them to compute normalized data, and compare several normalization approaches. Finally, we briefly show how to perform downstream analysis steps on the normalized data.

article Article; Book Chapter
date_range 2021
language English
link Link of the paper
format_quote
Sorry! There is no raw data available for this article.
Loading references...
Loading citations...
Featured Keywords

RNA-seq
Single cell
Normalization
Exploratory data analysis
Quality control
Gene expression
Transcriptomics
Citations by Year

Share Your Research Data, Enhance Academic Impact