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 `SigSet`s with dye bias corrected.

### Usage

    dyeBiasCorrMostBalanced(ssets)

### Arguments

`ssets` | a list of normalized `SigSet`s

### Value

a list of normalized `SigSet`s

### Examples

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

[Package sesame version 1.2.0 Index]