\name{modeCenter}
\alias{modeCenter}
\title{Center continuous data on mode}
\usage{
  modeCenter(ds)
}
\arguments{
  \item{ds}{numeric matrix}
}
\value{
  numeric matrix
}
\description{
  Copynumber data distributions are generally multi-modal.
  It is often assumed that the tallest peak represents
  "normal" and should therefore be centered on a log2ratio
  of zero. This function uses the density function to find
  the mode of the dominant peak and subtracts that value
  from the input data.
}
\examples{
modeCenter( matrix( rnorm(150, mean=0), ncol=3 ))
}
\author{
  Peter M. Haverty
}