Variance stabilization and calibration for microarray data
Description
The package implements a method for normalising microarray intensities,
both between colours within array, and between arrays. The method uses a
robust variant of the maximum-likelihood estimator for the stochastic model of
microarray data described in the references (see vignette).
The model incorporates data calibration (a.k.a. normalization), a model for
the dependence of the variance on the mean intensity, and a
variance stabilizing data transformation. Differences between
transformed intensities are analogous to "normalized
log-ratios". However, in contrast to the latter, their
variance is independent of the mean, and they are usually more
sensitive and specific in detecting differential
transcription.