ZScorePerScreen {RNAither} | R Documentation

## ZScore normalization per experiment

### Description

ZScore normalization not per plate, but per experiment (see Value and References)

### Usage

    ZScorePerScreen(header, dataset, listOfArgs)

### Arguments

`header` | the header of a dataset file generated with `generateDatasetFile`
`dataset` | an R data frame generated with `generateDatasetFile`
`listOfArgs` | a list containing: - a character string specifying the column whose values will be used for normalization - a flag specifying whether controls should be excluded for the computation of the median and median absolute deviation (1) or not (0).

### Value

The ZScore is defined as the quotient of the difference between an intensity value and the median of the experiment, and of the median absolute deviation.

Returns a list containing:

`header` | The new header (with an added entry about the normalization procedure in the comments)
`dataset` | The new dataset with normalized values. The old values are saved in an extra column of the dataset with the suffix ".old"

### References

N. Malo et al. Statistical practice in high-throughput screening data analysis. Nature Biotech, 24(2): 167-175, 2006.

### See Also

`ZScore`, `BScore`

### Examples

    data(exampleHeader, package="RNAither")
    data(exampleDataset, package="RNAither")

    normres <- ZScorePerScreen(header, dataset, list("SigIntensity", 1))
    newheader <- normres[[1]]
    newdataset <- normres[[2]]

[Package RNAither version 2.36.0 Index]