vsn2.
Interesting for its applications are also
predict and the wrapper function justvsn.
vsn2 can be applied to objects of class
ExpressionSet,
NChannelSet,
AffyBatch (from the affy package) and
RGList (from the limma package),
matrix and vector. It returns an object of class
vsn, which contains the results of fitting the
vsn model to the data.The most common use case is that you will want to construct a new data object with the vsn-normalized data whose class is the same as that of the input data and which preserves the metadata. This can be achieved by
fit = vsn2(x, ...)
nx = predict(fit, newdata=x)
To simplify this, there exists also a simple wrapper
justvsn.