filter: Filter functions for Gene Selection

In chbernau/CMA: Synthesis of microarray-based classification

Description

The functions listed above are usually not called by the user but via GeneSelection.

Usage

ttest(X, y, learnind, ...)
welchtest(X, y, learnind, ...)
ftest(X, y, learnind,...)
kruskaltest(X, y, learnind,...)
limmatest(X, y, learnind,...)
golubcrit(X, y, learnind,...)
rfe(X, y, learnind,...)
shrinkcat(X,y,learnind,...)

Arguments

X	A numeric matrix of gene expression values.
y	A numeric vector of class labels.
learnind	An index vector specifying the observations that belong to the learning set.
...	Currently unused argument.

Value

An object of class varseloutput.

References

Slawski, M. Daumer, M. Boulesteix, A.-L. (2008) CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. BMC Bioinformatics 9: 439

chbernau/CMA documentation built on May 17, 2019, 12:04 p.m.