normalize.AffyBatch.vsn
(Package: vsn) :
Wrapper for vsn to be used as a normalization method with expresso
Wrapper for vsn2 to be used as a normalization method with the expresso function of the package affy. The expresso function is deprecated, consider using justvsn instead. The normalize.AffyBatch.vsn can still be useful on its own, as it provides some additional control of the normalization process (fitting on subsets, alternate transform parameters).
vsn.old
(Package: vsn) :
Variance stabilization and calibration for microarray data.
Robust estimation of variance-stabilizing and calibrating transformations for microarray data. This function has been superseded by vsn2. The function vsn remains in the package for backward compatibility, but for new projects, please use vsn2.
vsn2 fits the vsn model to the data in x and returns a vsn object with the fit parameters and the transformed data matrix. The data are, typically, feature intensity readings from a microarray, but this function may also be useful for other kinds of intensity data that obey an additive-multiplicative error model. To obtain an object of the same class as x, containing the normalised data and the same metdata as x, use
providing 
.