\HeaderA{cellcycle}{Cell-Cycle Cluster Matrix}{cellcycle}
\aliasA{ccCM}{cellcycle}{ccCM}
\aliasA{nNamescc}{cellcycle}{nNamescc}
\keyword{datasets}{cellcycle}
\begin{Description}\relax
An adjacency matrix in which
\end{Description}
\begin{Usage}
\begin{verbatim}data(ccCM)\end{verbatim}
\end{Usage}
\begin{Format}\relax
\code{ccCM} is a symmetric matrix with 2885 columns and 2885 rows.

\code{nNamescc} is a vector of 2885 gene names.
\end{Format}
\begin{Details}\relax
Cho, et al. discuss the k means clustering of 2885 Saccharomyces genes into 30 clusters with measurements taken over two synchronized cell cycles.  \code{nNamescc} is a vector of the 2885 gene names.  \code{ccCM} is an adjacency matrix in which a "1" in the ith row and jth column indicates that gene i and gene j belong to the same cluster.  All other entries are 0.  These data are integrated with phenotypic data and GO data in Balasubramanian, et al (2004).
\end{Details}
\begin{Source}\relax
Balasubramanian R, LaFramboise T, Scholtens D, Gentleman R. (2004) A graph theoretic approach to integromics - integrating disparate sources of functional genomics data
\end{Source}
\begin{References}\relax
Cho, et al. (1998) A genome-wide transcriptional analysis of the mitotic cell cycle.  Molecular Cell, 2, 65-73.

Tavazoie, et al. (1999) Systematic determination of genetic network architecture. Nature Genetics, 22, 281-285.
\end{References}
\begin{Examples}
\begin{ExampleCode}
data(ccCM)

\end{ExampleCode}
\end{Examples}

