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

Accounting for batch effects, especially latent batch effects, in differential expression (DE) analysis is critical for identifying true biological effects. Single-cell RNA sequencing (scRNA-seq) is a powerful tool for quantifying cell-to-cell variation in transcript abundance and characterizing cel...

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Detalhes bibliográficos
Publicado no:Comput Struct Biotechnol J
Main Authors: Chen, Wenan, Zhang, Silu, Williams, Justin, Ju, Bensheng, Shaner, Bridget, Easton, John, Wu, Gang, Chen, Xiang
Formato: Artigo
Idioma:Inglês
Publicado em: Research Network of Computational and Structural Biotechnology 2020
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Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7163294/
https://ncbi.nlm.nih.gov/pubmed/32322368
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2020.03.026
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