Gene_maximisation:
A data frame containing all the data from four different qPCR runs.
Description
A data frame containing all the data from four different qPCR runs where samples
and genes are spread accross runs.
Usage
data(Gene_maximisation)
Format
A data frame with 192 observations on the following 4 variables.
Samples- a factor with levels
IRC 1.1
IRC 1.2 IRC 1.3 IRC 1.4 IRC 1.5 IRC 1.6
IRC 1.7 IRC 1.8 IRC 2.1 IRC 2.2 IRC 2.3
IRC 2.4 IRC 2.5 IRC 2.6 IRC 2.7 IRC 2.8
IRC 3.1 IRC 3.2 IRC 3.3 IRC 3.4 IRC 3.5
IRC 3.6 IRC 3.7 IRC 3.8 NTC 1 NTC 2
NTC 3 NTC 4 NTC 5 NTC 6 NTC 7 NTC 8
Sample 1 Sample 10 Sample 11 Sample 12
Sample 13 Sample 14 Sample 15 Sample 16
Sample 17 Sample 18 Sample 19 Sample 2
Sample 20 Sample 21 Sample 22 Sample 23
Sample 24 Sample 25 Sample 26 Sample 27
Sample 28 Sample 29 Sample 3 Sample 30
Sample 31 Sample 32 Sample 4 Sample 5
Sample 6 Sample 7 Sample 8 Sample 9 RG1- a numeric vector
RG2- a numeric vector
TG- a numeric vector
Source
S. Le Pape, IRTOMIT-INSERM U1082.Details
This data frame is composed by 64 samples including IRCs (3 per gene), NTC (1
per gene). The control samples are Samples 1 to 16, and the test samples are
Samples 17 to 32. There are 2 reference genes (RG1, RG2) and one target gene
(TG).
References
S. Le Pape, IRTOMIT-INSERM U1082.