Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 67,594 bioRxiv papers from 298,144 authors.

Assessment of single cell RNA-seq normalization methods

By Bo Ding, Lina Zheng, Wei Wang

Posted 17 Jul 2016
bioRxiv DOI: 10.1101/064329 (published DOI: 10.1534/g3.117.040683)

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.

Download data

  • Downloaded 2,109 times
  • Download rankings, all-time:
    • Site-wide: 2,246 out of 67,594
    • In bioinformatics: 456 out of 6,655
  • Year to date:
    • Site-wide: 40,217 out of 67,594
  • Since beginning of last month:
    • Site-wide: 55,516 out of 67,594

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide

Sign up for the Rxivist weekly newsletter! (Click here for more details.)