对《用于分析深度突变扫描数据的统计框架》的修正
Correction to: A statistical framework for analyzing deep mutational scanning data.
作者信息
Rubin Alan F, Gelman Hannah, Lucas Nathan, Bajjalieh Sandra M, Papenfuss Anthony T, Speed Terence P, Fowler Douglas M
机构信息
Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Department of Medical Biology, University of Melbourne, Melbourne, Australia.
出版信息
Genome Biol. 2018 Feb 7;19(1):17. doi: 10.1186/s13059-018-1391-7.
Abstract
After publication of our article [1] 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.
摘要
在我们的文章[1]发表之后，我们注意到我们的程序中缺少一行用于合并重复内方差和重复间方差的代码。这导致使用Enrich2随机效应模型计算的标准误差被高估。
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