Accounting for technical noise in differential expression analysis of single-cell RNA sequencing data

Recent technological breakthroughs have made it possible to measure RNA expression at the single-cell level, thus paving the way for exploring expression heterogeneity among individual cells. Current single-cell RNA sequencing (scRNA-seq) protocols are complex and introduce technical biases that var...

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Detalles Bibliográficos
Autores principales: Jia, Cheng, Hu, Yu, Kelly, Derek, Kim, Junhyong, Li, Mingyao, Zhang, Nancy R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737676/
https://www.ncbi.nlm.nih.gov/pubmed/29036714
http://dx.doi.org/10.1093/nar/gkx754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737676/
https://www.ncbi.nlm.nih.gov/pubmed/29036714
http://dx.doi.org/10.1093/nar/gkx754

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