Empowering statistical methods for cellular and molecular biologists
Empowering statistical methods for cellular and molecular biologists
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DOI：
10.1091/mbc.e15-02-0076
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发表时间：
2019-06-01
影响因子：
3.3
通讯作者：
Pollard, Katherine S.
中科院分区：
文献类型：
--
作者：
Pollard, Daniel A.;Pollard, Thomas D.;Pollard, Katherine S.
我们提供了使用统计方法分析细胞和分子生物学期刊(如《细胞的分子生物学》)中报告的实验类型的指南。我们的目标是帮助实验者熟练地使用这些方法，避免错误，并从他们的实验室工作中最大限度地提取信息。我们专注于比较对照样本和实验样本的平均值。补充教程提供了如何使用R软件分析实验数据的示例。
We provide guidelines for using statistical methods to analyze the types of experiments reported in cellular and molecular biology journals such as Molecular Biology of the Cell. Our aim is to help experimentalists use these methods skillfully, avoid mistakes, and extract the maximum amount of information from their laboratory work. We focus on comparing the average values of control and experimental samples. A Supplemental Tutorial provides examples of how to analyze experimental data using R software.