A statistical framework for analyzing deep mutational scanning data (vol 18, 150, 2017)
Web of Science
AuthorRubin, AF; Gelman, H; Lucas, N; Bajjalieh, SM; Papenfuss, AT; Speed, TP; Fowler, DM
Source TitleGenome Biology
PublisherBIOMED CENTRAL LTD
AffiliationMedical Biology (W.E.H.I.)
School of Mathematics and Statistics
Document TypeJournal Article
CitationsRubin, A. F., Gelman, H., Lucas, N., Bajjalieh, S. M., Papenfuss, A. T., Speed, T. P. & Fowler, D. M. (2018). A statistical framework for analyzing deep mutational scanning data (vol 18, 150, 2017). GENOME BIOLOGY, 19 (1), https://doi.org/10.1186/s13059-018-1391-7.
Access StatusOpen Access
CORRECTION: After publication of our article  it was brought to our attention that a line of code was missing from our program to combine the within-replicate variance and between-replicate variance. This led to an overestimation of the standard errors calculated using the Enrich2 random-effects model.
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