A comparison of methods accounting for batch effects in differential expression analysis of UMI count based single cell RNA sequencing-Reference-Cited by-同舟云学术

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A comparison of methods accounting for batch effects in differential expression analysis of UMI count based single cell RNA sequencing

Published:2020 Issue: Volume:18 Page:861-873
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Chen Wenan,Zhang Silu,Williams Justin,Ju Bensheng,Shaner Bridget,Easton John,Wu Gang,Chen Xiang

Funder

American Lebanese Syrian Associated Charities

National Institutes of Health

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference35 articles.

1. Single-cell RNA sequencing technologies and bioinformatics pipelines;Hwang;Exp Mol Med,2018

2. Single-cell transcriptome sequencing: recent advances and remaining challenges;Liu;F1000Res,2016

3. Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells;Klein;Cell,2015

4. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets;Macosko;Cell,2015

5. UMI-count modeling and differential expression analysis for single-cell RNA sequencing;Chen;Genome Biol,2018

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