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aroma.affymetrix (version 3.2.2)

averageQuantile.AffymetrixCelSet: Calculates the average empirical distribution across all samples

Description

Calculates the average empirical distribution across all samples.

Usage

# S3 method for AffymetrixCelSet
averageQuantile(this, probes=NULL, excludeCells=NULL, ..., verbose=FALSE)

Value

Returns a double

vector of length N.

Arguments

probes

An optional numeric vector specifying what subset of probes to be used to calculate the empirical distribution. If NULL, all probes are used.

...

Not used.

verbose

See Verbose.

Missing values

If NAs are detected in a sample, these are excluded and the approx() function (approx) is used to "expand" the vector of the remaining values so that the sorted vector (still) have length N.

Author

Henrik Bengtsson

Details

This methods implements Step A2-A3 in the algorithm for quantile normalization proposed by Bengtsson et al. (2008).

References

[1] H. Bengtsson, R. Irizarry, B. Carvalho, & T.P. Speed. Estimation and assessment of raw copy numbers at the single locus level, Bioinformatics, 2008.

See Also

averageQuantile.list For more information see AffymetrixCelSet.