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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

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