\HeaderA{MassSpecWavelet-package}{Peak detection of mass spectrum by Wavelet transform based methods}{MassSpecWavelet.Rdash.package}
\aliasA{MassSpecWavelet}{MassSpecWavelet-package}{MassSpecWavelet}
\keyword{package}{MassSpecWavelet-package}
\begin{Description}\relax
Process Mass Spectrum (MS) by Wavelet Transforms-based algorithms
\end{Description}
\begin{Details}\relax
\Tabular{ll}{
Package: & MassSpecWavelet\\
Type: & Package\\
Version: & 1.0.4\\
Date: & 2007-04-05\\
License: & GPL 2 or newer\\
}
MassSpecWavelet R package is aimed to process Mass Spectrometry (MS) data 
mainly based on Wavelet Transforms. The current version only supports the 
peak detection based on Continuous Wavelet Transform (CWT). Future versions 
will include more functions covering entire MS data processes.
\end{Details}
\begin{Author}\relax
Pan Du, Simon Lin

Maintainer: Pan Du <dupan@northwestern.edu>
\end{Author}
\begin{References}\relax
Du, P., Kibbe, W.A. and Lin, S.M. (2006) Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching, Bioinformatics, 22, 2059-2065.
\end{References}
\begin{Examples}
\begin{ExampleCode}
data(exampleMS)
SNR.Th <- 3
peakInfo <- peakDetectionCWT(exampleMS, SNR.Th=SNR.Th)
majorPeakInfo = peakInfo$majorPeakInfo
peakIndex <- majorPeakInfo$peakIndex
plotPeak(exampleMS, peakIndex, main=paste('Identified peaks with SNR >', SNR.Th)) 
\end{ExampleCode}
\end{Examples}

