Class to contain result of a vsn fit
Class to contain input data and parameters for vsn functions
Wrapper functions for vsn
Intensity data for 1 cDNA slide with two adjacent tissue samples from a nephrectomy (kidney)
Intensity data for 8 cDNA slides with CLL and DLBL samples from the Alizadeh et al. paper in Nature 2000
Plot row standard deviations versus row means
Wrapper for vsn to be used as a normalization method with expresso
Simulate data and assess vsn's parameter estimation
The transformation that is applied to the scaling parameter of the vsn model
vsn
Variance stabilization and calibration for microarray data.
Fit the vsn model
Apply the vsn transformation to data
Calculate the log likelihood and its gradient for the vsn model
Plot trajectories of calibration and transformation parameters for a vsn fit
A function that transforms a matrix of microarray intensities.