\HeaderA{siResult-class}{A class for representing the result of the SLGI graph permutation
model.}{siResult.Rdash.class}
\aliasA{show,siResult-method}{siResult-class}{show,siResult.Rdash.method}
\keyword{classes}{siResult-class}
\begin{Description}\relax
A class for representing the result of the \code{modelSLGI} function.
\end{Description}
\begin{Section}{Slots}
\describe{
\item[\code{Observed}:] Return a \code{"numeric"}
vector: the observed  number of synthetic genetic
interactions between components of one or two cellular organizational units
\item[\code{Expected}:] Return a matrix: the expected
number of synthetic genetic interactions between
components of one or two cellular organizational units
}
\end{Section}
\begin{Section}{Methods}
\describe{
\item[\code{plot}] Graphical representation of the permutation model
result
\item[\code{compare}] Summarizes the result of the \code{modelSLGI} function
}
\end{Section}
\begin{Author}\relax
N. LeMeur
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{modelSLGI}{modelSLGI}},\code{\LinkA{plot}{plot}}
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
## apply a permutation model 
 data(ScISIC)
 data(Atong)
 data(SGA)
 model <-  modelSLGI(Atong, universe= SGA, interactome=ScISIC,
  type="intM", perm=2)

model
\end{ExampleCode}
\end{Examples}

