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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Detalles Bibliográficos
Autores principales: Chen, Wenan, Zhang, Silu, Williams, Justin, Ju, Bensheng, Shaner, Bridget, Easton, John, Wu, Gang, Chen, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163294/
https://www.ncbi.nlm.nih.gov/pubmed/32322368
http://dx.doi.org/10.1016/j.csbj.2020.03.026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163294/
https://www.ncbi.nlm.nih.gov/pubmed/32322368
http://dx.doi.org/10.1016/j.csbj.2020.03.026

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