rpa.summarize: rpa.summarize

In RPA: RPA: Robust Probabilistic Averaging for probe-level analysis

Description

RPA summarization.

Usage

rpa.summarize(dat, affinities, variances, summarize.with.affinities = FALSE)

Arguments

dat	Original data: probes x samples.
affinities	Probe affinities
variances	Probe variances
summarize.with.affinities	Use affinity estimates in probe summarization step. Default: FALSE.

Details

Summarizes the probes in a probe set according to the RPA model based on the given affinity and variance parameters.

Value

A vector. Probeset-level summary signal.

Author(s)

Leo Lahti [e-mail]

References

See citation("RPA")

See Also

rpa

Examples

# res <- rpa.summarize(dat, affinities, variances, summarize.with.affinities = FALSE)

RPA documentation built on Nov. 8, 2020, 7:47 p.m.