padj.qpcr {MCMC.qpcr}

Calculates adjusted p-values corrected for multiple comparisons

Description

Takes the output of HPDplot(...,plot=FALSE), adds two columns of adjusted p-values (z and mcmc) Disregards the entries corresponding to control genes

Usage

padj.qpcr(data, controls = NULL, method = "BH")

Arguments

data

Output of HPDplot(...,plot=FALSE); may be several several such outputs concatenated with rbind

controls

A vector of control gene names

method

p-value correction method (see function p.adjust), default is Benjamini-Hochberg

Value

The dataframe derived from the input, with added columns "padj.z" and "padj.mcmc". See tutorial for examples.

Author(s)

Mikhail V. Matz, [e-mail]

References

Matz MV, Wright RM, Scott JG (2013) No Control Genes Required: Bayesian Analysis of qRT-PCR Data. PLoS ONE 8(8): e71448. doi:10.1371/journal.pone.0071448