MCMC.qpcr: normalize.qpcr – R documentation

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normalize.qpcr

Internal function called by mcmc.qpcr.classic

Description

Performs multigene normalization as per Vandesompele et al 2002, centers the resulting gene expression values around the gene's means

Usage

normalize.qpcr(data, controls, center = T)

Arguments

`data`	The output of cq2log()
`controls`	Vector of control genes, such as 'controls=c("eif3h","nd5","rpl11")'
`center`	Whether to perform centering around mean or not.

Value

normalized dataset

Author(s)

Mikhail Matz, UT Austin

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

MCMC.qpcr

Bayesian Analysis of qRT-PCR Data

v1.2.4

GPL-3

Authors

Mikhail V. Matz

Initial release

2020-03-27