\HeaderA{filter}{Filter functions for Gene Selection}{filter}
\aliasA{ftest}{filter}{ftest}
\aliasA{golubcrit}{filter}{golubcrit}
\aliasA{kruskaltest}{filter}{kruskaltest}
\aliasA{limmatest}{filter}{limmatest}
\aliasA{rfe}{filter}{rfe}
\aliasA{ttest}{filter}{ttest}
\aliasA{welchtest}{filter}{welchtest}
\aliasA{wilcoxtest}{filter}{wilcoxtest}
\keyword{multivariate}{filter}
\begin{Description}\relax
The functions listed above are usually not called by the
user but via \code{\LinkA{GeneSelection}{GeneSelection}}.
\end{Description}
\begin{Usage}
\begin{verbatim}
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,...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{X}] A \code{numeric} matrix of gene expression values.
\item[\code{y}] A \code{numeric} vector of class labels.
\item[\code{learnind}] An index vector specifying the observations that
belong to the learning set.
\item[\code{...}] Currently unused argument.
\end{ldescription}
\end{Arguments}
\begin{Value}
An object of class \code{\LinkA{varseloutput}{varseloutput}}.
\end{Value}

