Recommendations of scRNA-seq Differential Gene Expression Analysis Based on Comprehensive Benchmarking

To guide analysts to select the right tool and parameters in differential gene expression analyses of single-cell RNA sequencing (scRNA-seq) data, we developed a novel simulator that recapitulates the data characteristics of real scRNA-seq datasets while accounting for all the relevant sources of va...

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Detalles Bibliográficos
Autores principales: Gagnon, Jake, Pi, Lira, Ryals, Matthew, Wan, Qingwen, Hu, Wenxing, Ouyang, Zhengyu, Zhang, Baohong, Li, Kejie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225332/
https://www.ncbi.nlm.nih.gov/pubmed/35743881
http://dx.doi.org/10.3390/life12060850

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225332/
https://www.ncbi.nlm.nih.gov/pubmed/35743881
http://dx.doi.org/10.3390/life12060850

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