\name{BladderRepro}
\alias{BladderRepro}
\alias{BladderRepro.qPCRBatch}
\docType{data}
\title{ Data set of Andersen et al (2004) }
\description{
  This data set was used in Andersen et al (2004) to demonstrate normalization 
  of real-time quantitative RT-PCR data by geometric averaging of housekeeping genes.
}
\usage{data(BladderRepro)}
\format{
  A qPCRBatch object which contains an expression matrix with 28 observations on the following 14 variables which stand for 
  expression data potential reference/housekeeping genes
  \describe{
    \item{\code{Grade}}{Grade of bladder cancer. }
    \item{\code{Sample.no.}}{sample number. }
    \item{\code{CD14}}{CD14 molecule. }
    \item{\code{FCN1}}{Ficolin (collagen/fibrinogen domain containing) 1. }
    \item{\code{CCNG2}}{Cyclin G2. }
    \item{\code{NPAS2}}{Neuronal PAS domain protein 2. }
    \item{\code{UBC}}{Ubiquitin C. }
    \item{\code{CFL1}}{Cofilin 1 (non-muscle). }
    \item{\code{ACTB}}{Actin, beta. }
    \item{\code{GAPD}}{Glyceraldehyde-3-phosphate dehydrogenase. }
  }
  It also contains a "group" column in the pData slot, which gives information on the different sample classes,
  necessary for the NormFinder algorithm
}
\details{
  This data set was used to check the reproducibility of the results obtained
  in Andersen et al (2004).
}
\source{
  The data set was obtained from
  \url{http://www.mdl.dk/Publications_sup1.htm}
}
\references{
  Claus Lindbjerg Andersen, Jens Ledet Jensen and Torben Falck Orntoft (2004).
  Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: 
  A Model-Based Variance Estimation Approach to Identify Genes Suited for
  Normalization, Applied to Bladder and Colon Cancer Data Sets. 
  CANCER RESEARCH 64, 5245-5250, August 1, 2004.
  \url{http://cancerres.aacrjournals.org/cgi/content/full/64/15/5245}
}
\examples{
  data(BladderRepro)
  head(exprs(BladderRepro.qPCRBatch))
  pData(BladderRepro.qPCRBatch)
}
\keyword{datasets}