SGER: A Power and Sample Size Atlas for Microarray Research

位于伯明翰的亚拉巴马大学获得了一笔探索性研究（SGER）的小额赠款，用于开发微阵列数据集的“Power Atlas”。该项目将开发一系列公开的DNA微阵列数据集，并对所有数据集进行通用功效分析，然后将所有结果放入通用格式中，以便轻松确定满足研究人员设定标准的样本量要求。 它将通过一个网站提供一个可搜索的索引，使研究人员可以很容易地从类似于正在计划的实验中找到样本量估计。该数据库将使科学家能够下载和比较复杂的统计计算及其图形表示。它也将是一个资源，教育研究人员在生物学研究的基本统计原则。这是除了它的主要功能作为一个容易获得的信息来源，用于计划微阵列实验。

The University of Alabama at Birmingham has been awarded a Small Grant for Exploratory Research (SGER) to develop a "Power Atlas" for microarray data sets. The project will develop a collection of publicly available DNA microarray data sets and perform a common power analysis on all datasets and then place all results into a common format for easy determination of sample size requirements that meet criteria set by a researcher. It will make the Atlas of power analyses available via a website with a searchable index so investigators can easily find sample size estimates from experiments similar to an experiment being planned. The database will enable scientists to download and compare sophisticated statistical computations and graphical representations of them. It will also be a resource to educate investigators on basic statistical principles in biological research. This is in addition to its primary function as an easily accessible source of information for use in planning microarray experiments.