\HeaderA{golub}{Gene expression dataset from Golub et al. (1999)}{golub}
\methaliasA{golub.cl}{golub}{golub.cl}
\methaliasA{golub.gnames}{golub}{golub.gnames}
\keyword{datasets}{golub}
\begin{Description}\relax
Gene expression data (3051 genes and 38 tumor mRNA samples) from the
leukemia microarray study of Golub et al. (1999). Pre-processing
was done as described in Dudoit et al. (2002). The R code for pre-processing is available in the file golub.R in the docs directory.
\end{Description}
\begin{Usage}
\begin{verbatim}
data(golub)
\end{verbatim}
\end{Usage}
\begin{Value}
\begin{ldescription}
\item[\code{golub}] matrix of gene expression levels for the 38 tumor mRNA samples, rows correspond to genes (3051 genes) and columns to mRNA samples.
\item[\code{golub.cl}] numeric vector indicating the tumor class, 27 acute lymphoblastic leukemia (ALL) cases (code 0) and 11 acute myeloid leukemia (AML) cases (code 1). 
\item[\code{golub.gnames}] a matrix containing the names of the 3051 genes for the expression matrix \code{golub}. The three columns correspond to the gene \code{index}, \code{ID}, and \code{Name}, respectively.

\end{ldescription}
\end{Value}
\begin{Source}\relax
Golub et al. (1999). Molecular classification of cancer: class
discovery and class prediction by gene expression
monitoring, \emph{Science}, Vol. 286:531-537.\\
http://www-genome.wi.mit.edu/MPR/
.
\end{Source}
\begin{References}\relax
S. Dudoit, J. Fridlyand, and T. P. Speed (2002). Comparison of discrimination methods for the  classification of tumors using gene expression data. \emph{Journal of the American Statistical Association}, Vol. 97, No. 457, p. 77--87.
\end{References}

