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\name{lung}
\docType{data}
\alias{lung}
\title{DNA Microarray Data of Lung Tumors}
\description{
DNA Microarray data of 73 lung tissues including 67 lung tumors.
There are 916 observations of genes for each lung tissue.
}
\usage{data(lung)}
\format{data frame of size \eqn{916 \times 73}{(916, 73)}.}
\details{
This dataset has been modified from original data. Each one
observation of duplicate genes has been removed. See \code{source}
section in this help for original data source.
}
\examples{
\donttest{
## Reading the data
data(lung)
## Multiscale Bootstrap Resampling
lung.pv <- pvclust(lung, nboot=100)
## CAUTION: nboot=100 may be too small for actual use.
## We suggest nboot=1000 or larger.
## plot/print functions will be useful for diagnostics.
## Plot the result
plot(lung.pv, cex=0.8, cex.pv=0.7)
ask.bak <- par()$ask
par(ask=TRUE)
pvrect(lung.pv, alpha=0.9)
msplot(lung.pv, edges=c(51,62,68,71))
par(ask=ask.bak)
## Print a cluster with high p-value
lung.pp <- pvpick(lung.pv, alpha=0.9)
lung.pp$clusters[[2]]
## Print its edge number
lung.pp$edges[2]
}
## We recommend parallel computing for large dataset as this one
\dontrun{
library(snow)
cl <- makeCluster(10, type="MPI")
lung.pv <- parPvclust(cl, lung, nboot=1000)
}
}
\source{\url{http://genome-www.stanford.edu/lung_cancer/adeno/}}
\references{
Garber, M. E. et al. (2001)
"Diversity of gene expression in adenocarcinoma of the lung",
\emph{Proceedings of the National Academy of Sciences},
98, 13784-13789.
}
\keyword{datasets}
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