oneChannelGUI (version 1.38.0)

sample.size.evaluation: The function executes and plots results from ssize and delta fulction from the ssize packahe

Description

This function represents avisual tool for helping users to understand the trade off between sample size and statistical power. To know more about see ssize help.

Usage

sample.size.evaluation()

Details

Both ssize and delta outputs are calculated using the BH type I error correction instead of the Bonferroni used as default in the ssize package. Furthermore, instead using the control group variance, this implementation uses the common variance described in Wei et al. BMC Genomics. 2004, 5:87

Main assumptions: A microarray experiment is set up to compare gene expressions between one treatment group and one control group. Microarray data has been normalized and transformed so that the data for each gene is sufficiently close to a normal distribution that a standard 2-sample pooled-variance t-test will reliably detect differentially expressed genes.