padj.qpcr: Calculates adjusted p-values corrected for multiple...
In MCMC.qpcr: Bayesian Analysis of qRT-PCR Data

Description Usage Arguments Value Author(s) References

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

1	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

MCMC.qpcr documentation built on March 31, 2020, 5:22 p.m.