Missing data and technical variability in single-cell RNA-sequencing experiments
Author:
Affiliation:
1. Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
2. Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
Funder
NIH
Publisher
Oxford University Press (OUP)
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Link
http://academic.oup.com/biostatistics/article-pdf/19/4/562/26346801/kxx053.pdf
Reference72 articles.
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2. Design and computational analysis of single-cell RNA-sequencing experiments.;Bacher,;Genome Biology,2016
3. Biased allelic expression in human primary fibroblast single cells.;Borel,;American Journal of Human Genetics,2015
4. Near-optimal probabilistic RNA-seq quantification.;Bray,;Nature Biotechnology,2016
5. Accounting for technical noise in single-cell RNA-seq experiments.;Brennecke,;Nature Methods,2013
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