Understanding sample size: what determines the required number of microarrays for an experiment?

Jorstad TS; Langaas M; Bones AM

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Understanding sample size: what determines the required number of microarrays for an experiment?

机译：了解样本量：是什么决定了实验所需的微阵列数量？

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DNA microarray experiments have become a widely used tool for studying gene expression. An important, but difficult, part of these experiments is deciding on the appropriate number of biological replicates to use. Often, researchers will want a number of replicates that give sufficient power to recognize regulated genes while controlling the false discovery rate (FDR) at an acceptable level. Recent advances in statistical methodology can now help to resolve this issue. Before using such methods it is helpful to understand the reasoning behind them. In this Research Focus article we explain, in an intuitive way, the effect sample size has on the FDR and power, and then briefly survey some recently proposed methods in this field of research and provide an example of use.

机译：DNA微阵列实验已成为研究基因表达的一种广泛使用的工具。这些实验的一个重要但困难的部分是确定要使用的生物学复制品的适当数量。通常，研究人员会希望进行大量复制，以提供足够的能力来识别受调控的基因，同时将错误发现率（FDR）控制在可接受的水平。统计方法学的最新进展现在可以帮助解决此问题。在使用这种方法之前，了解它们背后的原因是有帮助的。在这篇“研究重点”文章中，我们以直观的方式解释样本大小对FDR和功效的影响，然后简要调查该研究领域中最近提出的一些方法，并提供使用示例。

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来源
《Trends in Plant Science》 |2007年第2期|共5页
作者
Jorstad TS; Langaas M; Bones AM;
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正文语种 eng
中图分类植物学;
关键词
Data Interpretation; Statistical; Gene Expression Profiling methods standards; Oligonucleotide Array Sequence Analysis methods standards; Reproducibility of Results; Research Design; Sample Size;

机译：数据解释;统计;基因表达谱分析方法标准;寡核苷酸阵列序列分析方法标准;结果再现性;研究设计;样品量;

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1. Understanding sample size: what determines the required number of microarrays for an experiment? [J] . Jorstad TS, Langaas M, Bones AM Trends in Plant Science . 2007,第2期

机译：了解样本量：是什么决定了实验所需的微阵列数量？
2. A mixture model approach to sample size estimation in two-sample comparative microarray experiments [J] . Tommy S J?rstad, Herman Midelfart, Atle M Bones BMC Bioinformatics . 2008,第1期

机译：两样本比较微阵列实验中用于估计样本量的混合模型方法
3. Sample sizes for a robust ranking and selection of genes in microarray experiments. [J] . Matsui S, Oura T Statistics in medicine . 2009,第22期

机译：用于微阵列实验中基因的稳健排名和选择的样本量。
4. Experiment Design for Determining the Minimum Sample Size for Developing Sample Based Trip Length Distribution [C] . H Suprayitno, V Ratnasari, N Saraswati International Conference of Applied Sciences and Technology for Infrastructure Engineering . 2017

机译：用于确定基于样品的跳闸长度分布的最小样本大小的实验设计
5. Identifying differentially expressed genes, calculating sample sizes and computing gene expression indexes in microarray experiments. [D] . Hu, Jianhua. 2003

机译：在微阵列实验中鉴定差异表达的基因，计算样本量并计算基因表达指数。
6. A simple method for assessing sample sizes in microarray experiments [O] . Robert Tibshirani 2006

机译：一种评估微阵列实验中样本量的简单方法
7. Understanding Power and Rules of Thumb for Determining Sample Sizes [O] . Carmen R. Wilson Van Voorhis, Betsy L. Morgan 2007

机译：了解确定样本尺寸的功率和拇指规则
8. List of Sample Parameters of Quantitative Properties of Landforms: Their use in Determining the Size of Geomorphic Experiments [R] . Mark A. Melton 1958

机译：地貌定量性质样本参数列表：用于确定地貌实验规模的用途

Understanding sample size: what determines the required number of microarrays for an experiment?

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