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\title{\bf iClusterPlus: integrative clustering of multiple genomic
  data sets}

\author{Qianxing Mo$^1$ and Ronglai Shen$^2$}

\maketitle

\begin{center}
$^1$Division of Biostatistics\\
Dan L. Duncan Cancer Center\\
Baylor College of Medicine\\
{\tt qmo@bcm.edu} \\
\ \\
$^2$Deparment of Epidemiology and Biostatistics \\
Memorial Sloan-Kettering Cancer Center\\
{\tt shenr@mskcc.org}\\
\end{center}

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\section{Introduction}
iClusterPlus is developed for integrative clustering analysis of multi-type genomic data and is an enhanced version of iCluster
proposed and developed by Shen, Olshen and Ladanyi (2009). Multi-type genomic data arise from the experiments where biological samples (e.g., tumor
samples) are analyzed by multiple techniques, for instance, array comparative genomic hybridization (aCGH), gene expression microarray, RNA-seq and DNA-seq, and so on.   
Examples of these data can be obtained from the Cancer Genome Atlas (TCGA) (\url{http://cancergenome.nih.gov/}).  \\

\noindent
The iClusterPlus User's guide can be obtained from the Bioconductor web page.
If you are using Unix/Linux, you can get the manual by typing the following code in R Console.
\begin{Schunk}
\begin{Sinput}
> source("http://bioconductor.org/biocLite.R")
> biocLite("iClusterPlus")
> library(iClusterPlus)
> iManual()
\end{Sinput}
\end{Schunk}

\noindent
In addition, a simulation was performed to test the package.  For
details, please see the R code in the
\texttt{iClusterPlus/inst/unitTests/} folder.
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