\HeaderA{detectOutliers}{Outliers detection}{detectOutliers}
\methaliasA{detectOutliers.profileChr}{detectOutliers}{detectOutliers.profileChr}
\begin{Description}\relax
This function detects MAD outliers.
\end{Description}
\begin{Usage}
\begin{verbatim}
detectOutliers.profileChr(profileChr, region="Region", alpha=0.001, verbose=FALSE, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{profileChr}] Object of class \code{profileChr}.
\item[\code{region}] Label which indicated where outliers are detected.
\item[\code{alpha}] Risk alpha.
\item[\code{verbose}] If \code{TRUE} some information are printed
\item[\code{...}] 
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
The MAD outliers are detected within this function. The object
of class \code{profileChr} has the same characteristics than the object
of class \code{\LinkA{profileCGH}{profileCGH}} but corresponds to the values of only
one chromosome.
\end{Details}
\begin{Value}
An object of class \code{profileChr} with the following element added
to the data.frame \code{profileValues}:



\begin{ldescription}
\item[\code{OutliersMad}] Each MAD outliers are flagged by -1 (if it is
in the lower tail of the distribution) or 1 (if it is
in the upper tail of the distribution)
otherwise  it is 0.
\item[\code{OutliersTot}] OutliersAws + OutliersMad.
\end{ldescription}
\end{Value}
\begin{Author}\relax
Philippe Hupé, \email{Philippe.Hupe@curie.fr}.
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{glad.profileCGH}{glad.profileCGH}}
\end{SeeAlso}

