dyeBiasCorrMostBalanced {sesame}R Documentation

Correct dye bias using most balanced sample as the reference

Description

The function chose the reference signal level from a list of SigSet. The chosen sample has the smallest difference in Grn and Red signal intensity as measured using the normalization control probes. In practice, it doesn't matter which sample is chosen as long as the reference level does not deviate much. The function returns a list of SigSets with dye bias corrected.

Usage

dyeBiasCorrMostBalanced(ssets)

Arguments

ssets

a list of normalized SigSets

Value

a list of normalized SigSets

Examples

ssets <- sesameDataGet('HM450.10.TCGA.BLCA.normal')
ssets.db <- dyeBiasCorrMostBalanced(ssets)

[Package sesame version 1.10.5 Index]