This dataset 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)
Arguments
Format
A qPCRBatch object which contains an expression matrix with the expression of
8 genes measured in 26 samples. The sample information is saved in the
phenoData slot with variables
Sample.no.
sample number.
Grade
Grade of bladder cancer.
The following information on the measured genes is saved in the variables
Symbol and Gene.name of the featureData slot.
This data set was used to check the reproducibility of the results obtained
in Andersen et al (2004).
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.
http://cancerres.aacrjournals.org/cgi/content/full/64/15/5245