title: Understanding sample size: what determines the required number of microarrays for an experiment?
abstract: 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.
authors.affiliation: Department of Biology, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway.
authors.forename: Tommy S
authors.initials: TS
authors.lastname: Jørstad
authors.forename: Mette
authors.initials: M
authors.lastname: Langaas
authors.forename: Atle M
authors.initials: AM
authors.lastname: Bones
mesh_terms: D003627:Data Interpretation, Statistical; D020869:Gene Expression Profiling / Q000379:methods / Q000592:standards*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods / Q000592:standards*; D015203:Reproducibility of Results; D012107:Research Design; D018401:Sample Size