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SCnorm: A quantile-regression based approach for robust normalization of single-cell RNA-seq data
View ORCID ProfileRhonda Bacher, Li-Fang Chu, Ning Leng, Audrey P. Gasch, James A. Thomson, Ron M. Stewart, Michael Newton, Christina Kendziorski
doi: https://doi.org/10.1101/090167
Rhonda Bacher
1Department of Statistics, University of Wisconsin–Madison, Madison, WI
Li-Fang Chu
2Morgridge Institute for Research, Madison, WI
Ning Leng
2Morgridge Institute for Research, Madison, WI
Audrey P. Gasch
3Laboratory of Genetics, University of Wisconsin–Madison, Madison, WI
James A. Thomson
2Morgridge Institute for Research, Madison, WI
Ron M. Stewart
2Morgridge Institute for Research, Madison, WI
Michael Newton
1Department of Statistics, University of Wisconsin–Madison, Madison, WI
4Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, Wisconsin
Christina Kendziorski
4Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, Wisconsin
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Posted November 28, 2016.
SCnorm: A quantile-regression based approach for robust normalization of single-cell RNA-seq data
Rhonda Bacher, Li-Fang Chu, Ning Leng, Audrey P. Gasch, James A. Thomson, Ron M. Stewart, Michael Newton, Christina Kendziorski
bioRxiv 090167; doi: https://doi.org/10.1101/090167
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