quantileNormalizeIncremental: Incremental quantile normalization

In steveneschrich/IncrementalRMA: Affymetrix-based RMA Processing Using Fixed Parameters

Description

Use existing parameters to quantile normalize an AffyBatch.

Usage

quantileNormalizeIncremental(abatch, params = NULL)

Arguments

abatch	An AffyBatch to quantile normalize.
params	An incremental parameter list as generated by parameterizeRMA

Details

An AffyBatch is normalized using a quantile normalization approach. In the case of an incremental algorith, the pre-calculated quantiles can be used to normalize new data against. This has the benefit of not requiring calculation of quantiles across a set, instead just applying a stored version.

Value

A matrix of pm (perfect match) values that have been normalized.

Note

The incremental quantile normalization information is stored within the params object as the list normalizationVector.

If the params object is NULL then a default quantile normalization is performed.

Examples

## Not run: 
quantileNormalizeIncremental(AffyBatch, params=list("normalizationVector"=()))

## End(Not run)

steveneschrich/IncrementalRMA documentation built on Dec. 23, 2021, 5:32 a.m.