discreteNorm {CNAnorm} | R Documentation

## Methods for Function addSmooth in Package ‘CNAnorm’

### Description

`discreteNorm` performs normalization of data using information on ploidy. Implicitly calls `"validation"` if no validation was performed

### Usage

    ## S4 method for signature 'CNAnorm'
    discreteNorm(object, normBy = object)

### Arguments

`object` | An object of Class `"CNAnorm"` to normalize
`normBy` | An object of Class `"CNAnorm"` used to set normalization. It is possible, for instance, to normalize a sample at high resolution, using information obtained from the same sample at low resolution

### Value

An object of class `"CNAnorm"`

### Author(s)

Stefano Berri s.berri@leeds.ac.uk and Arief Gusnanto a.gusnanto@leeds.ac.uk

### References

Gusnanto, A., Wood, H.M., Pawitan, Y., Rabbitts, P. and Berri, S. (2011) Correcting for cancer genome size and tumour cell content enables better estimation of copy number alterations from next generation sequence data. Bioinformatics

### See Also

`validation`, `peakPloidy`

### Examples

    data(CN)
    # see peakPloidy documentation to know how object CN is created
    CN <- discreteNorm(CN)

[Package CNAnorm version 1.36.0 Index]