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On the widespread and critical impact of systematic bias and batch effects in single-cell RNA-Seq data
Stephanie C. Hicks, Mingxiang Teng, Rafael A. Irizarry
doi: https://doi.org/10.1101/025528
Stephanie C. Hicks
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute,
2Department of Biostatistics, Harvard School of Public Health
Mingxiang Teng
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute,
2Department of Biostatistics, Harvard School of Public Health
Rafael A. Irizarry
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute,
2Department of Biostatistics, Harvard School of Public Health

Posted December 27, 2015.
On the widespread and critical impact of systematic bias and batch effects in single-cell RNA-Seq data
Stephanie C. Hicks, Mingxiang Teng, Rafael A. Irizarry
bioRxiv 025528; doi: https://doi.org/10.1101/025528
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