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Assessment of single cell RNA-seq normalization methods

Bo Ding, Lina Zheng, Wei Wang
doi: https://doi.org/10.1101/064329
Bo Ding
1Department of Chemistry and Biochemistry, University of California at San Diego, La Jolla, CA 92093-0359
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Lina Zheng
1Department of Chemistry and Biochemistry, University of California at San Diego, La Jolla, CA 92093-0359
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Wei Wang
1Department of Chemistry and Biochemistry, University of California at San Diego, La Jolla, CA 92093-0359
2Department of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA 92093-0359
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Abstract

We have assessed the performance of seven normalization methods for single cell RNA-seq using data generated from dilution of RNA samples. Our analyses showed that methods considering spike-in ERCC RNA molecules significantly outperformed those not considering ERCCs. This work provides a guidance of selecting normalization methods to remove technical noise in single cell RNA-seq data.

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Posted July 17, 2016.
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Assessment of single cell RNA-seq normalization methods
Bo Ding, Lina Zheng, Wei Wang
bioRxiv 064329; doi: https://doi.org/10.1101/064329
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Assessment of single cell RNA-seq normalization methods
Bo Ding, Lina Zheng, Wei Wang
bioRxiv 064329; doi: https://doi.org/10.1101/064329

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