ArrayOutliers-methods: ArrayOutliers - wrapper for platform-specific multivariate...

In arrayMvout: multivariate outlier detection for expression array QA

Description

wraps functions that perform multivariate outlier detection on dimension-reduced QA statistics of expression arrays

Methods

data = "ANY", alpha = "missing", alphaSeq = "missing"

fails; tells user that alpha is obligatory parameter

data = "AffyBatch", alpha = "numeric", alphaSeq = "ANY"

performs calibrated multivariate outlier detection on an AffyBatch instance using various affy-specific QA parameters

data = "LumiBatch", alpha = "numeric", alphaSeq = "ANY"

performs calibrated multivariate outlier detection on an LumiBatch instance using various illumina-specific QA parameters

data = "data.frame", alpha = "numeric", alphaSeq = "ANY"

performs calibrated outlier detection on QA statistics housed in data.frame – all columns of the data entity must be numeric QA statistics for the arrays.

Examples

example(ArrayOutliers)

arrayMvout documentation built on Nov. 8, 2020, 8:07 p.m.