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bioRxiv · 10.1101/090167

SCnorm: A quantile-regression based approach for robust normalization of single-cell RNA-seq data

Bacher, R.·Chu, L.-F.·Leng, N.·Gasch, A. P.·Thomson, J. A.·Stewart, R. M.·Newton, M.·Kendziorski, C.
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Abstract

Normalization of RNA-sequencing data is essential for accurate downstream inference, but the assumptions upon which most methods are based do not hold in the single-cell setting. Consequently, applying existing normalization methods to single-cell RNA-seq data introduces artifacts that bias downstream analyses. To address this, we introduce SCnorm for accurate and efficient normalization of scRNA-seq data.

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Bacher, R., Chu, L.-F., Leng, N., Gasch, A. P., Thomson, J. A., Stewart, R. M., Newton, M., Kendziorski, C.. 2016-11-28. SCnorm: A quantile-regression based approach for robust normalization of single-cell RNA-seq data. https://doi.org/10.1101/090167

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