normPCR {SLqPCR} | R Documentation |
This function can be used to normalize real-time quantitative RT-PCR data.
normPCR(relData, HKs, method = "Vandesompele", na.rm = FALSE)
relData |
matrix or data.frame containing relative quantities (genes in columns) |
HKs |
integer, column numbers of housekeeping genes |
method |
method for the computation |
na.rm |
a logical value indicating whether NA values should be
stripped before the computation proceeds. |
This function can be used to normalize real-time quantitative RT-PCR data.
The default method "Vandesompele"
was proposed by
Vandesompele et al. (2002).
Currently, only the method by Vandesompele et al. (2002) is implemented.
Normalized expression data
Dr. Matthias Kohl (SIRS-Lab GmbH) kohl@sirs-lab.com
Jo Vandesompele, Katleen De Preter, Filip Pattyn et al. (2002). Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biology 2002. 3(7):research0034.1-0034.11. http://genomebiology.com/2002/3/7/research/0034/
data(SLqPCRdata) relData <- apply(SLqPCRdata, 2, relQuantPCR) geneStabM(relData[,c(3,4)]) exprData <- normPCR(SLqPCRdata, c(3,4))