discreteNorm-methods: Methods for Function addSmooth in Package 'CNAnorm'

In CNAnorm: A normalization method for Copy Number Aberration in cancer samples

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 [e-mail] and Arief Gusnanto [e-mail]

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)

CNAnorm documentation built on Nov. 8, 2020, 5:29 p.m.