ClassifyR (version 1.2.4)
A framework for two-class classification problems, with
applications to differential variability and differential
distribution testing.
Description
The software formalises a framework for classification in R.
There are four stages. Data transformation, feature selection,
and prediction. The requirements of variable types and names are
fixed, but specialised variables for functions can also be provided.
The classification framework is wrapped in a driver loop, that
reproducibly does a couple of cross-validation schemes.
Functions for differential expression, differential variability,
and differential distribution are included. Additional functions
may be developed by the user, if they have better performing methods.