\HeaderA{expval}{Example of twilight.pval result}{expval}
\keyword{datasets}{expval}
\begin{Description}\relax
Application of function twilight.pval on leukemia data set of Golub et al. (1999), as given in \code{data(golubMerge)} in \code{library(golubEsets)}.

First step was the variance-stabilizing normalization of Huber et al. (2002) in \code{library(vsn)}: \code{golubNorm <- vsn(exprs(golubMerge))}.

The function call was then \code{expval <- twilight.pval(golubNorm,id)} with \code{id <- as.numeric(golubMerge\$ALL.AML)}.
\end{Description}
\begin{Usage}
\begin{verbatim}data(expval)\end{verbatim}
\end{Usage}
\begin{Format}\relax
A twilight object.
\end{Format}
\begin{References}\relax
Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, Coller H, Loh ML, Downing JR, Caligiuri MA, Bloomfield CD and Lander ES (1999): Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring, \emph{Science} \bold{286}, 531--537.

Huber W, von Heydebreck A, Sültmann H, Poustka A and Vingron M (2002): Variance stabilization applied to microarray data calibration and to the quantification of differential expression, \emph{Bioinformatics} \bold{18}, suppl. 1, S96--S104.
\end{References}

