msmsEDA (version 1.10.0)

norm.counts: Spectral counts matrix normalization

Description

An spectral counts matrix is normalized by means of a set of samples divisors.

Usage

norm.counts(msnset, div)

Arguments

msnset

A MSnSet with spectral counts in the expression matrix.

div

A vector of divisors by sample

Value

A MSnSet object with the normalized spectral counts.

Details

Each column in the data matrix is divided by the corresponding divisor to obtain the normalizad matrix.

See Also

The MSnSet class documentation and normalize

Examples

data(msms.dataset)
msnset <- pp.msms.data(msms.dataset)
(tspc <- apply(exprs(msnset),2,sum))
div <- tspc/median(tspc)
e.norm <- norm.counts(msnset, div)
apply(exprs(e.norm),2,sum)
e.norm