Statistics / Sample size calculations with an adapted BH method


Perform sample size calculations using an adapted Benjamini-Hochberg method.



This tool uses an adapted version of the Benjamini-Hochberg method to perform sample size calculations using a pilot data set. The necessary parameters, such as effect size and the proportion of differentially expressed genes, are estimated from the data. For more details, please see the referenced articles.


A plot and a text table showing estimates of average power as a function of sample size.

A set of quality control plots. For interpretation, please see the referenced CGHpower paper, and these evaluation data sets.


Technical description of the method:
Ferreira et al. (2006) Approximate power and sample size calculations with the Benjamini-Hochberg method. Int J Biostat 2: Article8

An illustration with real and simulated microarray expression data:
Ferreira et al. (2006) Approximate sample size calculations with microarray data: an illustration.. Stat Appl Genet Mol Biol 5: Article25

The use of the method in the context of aCGH (CGHpower). Whereas the other two references are fairly technical, this one is written mostly for biologists:
Scheinin et al. (2010) CGHpower: exploring sample size calculations for chromosomal copy number experiments. BMC Bioinformatics 11: 331