Assessing the reliability of spike-in normalization for analyses of single-cell RNA sequencing data

By profiling the transcriptomes of individual cells, single-cell RNA sequencing provides unparalleled resolution to study cellular heterogeneity. However, this comes at the cost of high technical noise, including cell-specific biases in capture efficiency and library generation. One strategy for rem...

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Detalles Bibliográficos
Autores principales: Lun, Aaron T.L., Calero-Nieto, Fernando J., Haim-Vilmovsky, Liora, Göttgens, Berthold, Marioni, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5668938/
https://www.ncbi.nlm.nih.gov/pubmed/29030468
http://dx.doi.org/10.1101/gr.222877.117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5668938/
https://www.ncbi.nlm.nih.gov/pubmed/29030468
http://dx.doi.org/10.1101/gr.222877.117

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