Independent Surrogate Variable Analysis
Feature selection using independent surrogate variables
Estimates dimensionality of a data set using Random Matrix Theory
Main engine function for inference of independent surrogate variables ...
Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors (see Teschendorff AE et al 2011, <doi: 10.1093/bioinformatics/btr171>).