Detecting Differentially Expressed Genes: Minimizing Burden of Testing and Maximizing Number of Discoveries

作者：Lee Wen Chung^*

来源：Annals of Epidemiology, 2010, 20(10): 766-771.

DOI：10.1016/j.annepidem.2010.04.002

• False Discovery Rate
• Gene Expression
• Microarray

PURPOSE: Recent progress in DNA microarray technologies allows researchers to perform genome-wide screening to detect differentially expressed genes. Under the paradigm of false discovery rate control, this paper presents sample size methods.
METHODS: The author considers the following two scenarios: 1) planning the sample size to keep the 'burden of testing' (defined as the expected number of genes that have to be tested before a true discovery can he made) below a certain level, and 2) given a fixed amount of budget, balancing the number of subjects to be recruited and the number of genes to be tested to maximize the total number of true discoveries.
RESULTS: The study calculates sample sizes to minimize the burden of testing or to maximize the number of discoveries.
CONCLUSIONS: The present approach to sample size calculation bears more direct relevance to gene-discovery studies. Ann Epidemiol 2010;20:766-771.

• 出版日期2010-10