Gene_maximisation {EasyqpcR} | R Documentation

## 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

### 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).

### Source

S. Le Pape, IRTOMIT-INSERM U1082.

### References

S. Le Pape, IRTOMIT-INSERM U1082.

### Examples

    data(Gene_maximisation)

[Package EasyqpcR version 1.24.0 Index]