Calculates adjusted p-values corrected for multiple comparisons
Takes the output of HPDplot(...,plot=FALSE), adds two columns of adjusted p-values (z and mcmc) Disregards the entries corresponding to control genes
padj.qpcr(data, controls = NULL, method = "BH")
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 |
The dataframe derived from the input, with added columns "padj.z" and "padj.mcmc". See tutorial for examples.
Mikhail V. Matz, matz@mail.utexas.edu
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
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.