R: Peak detection of mass spectrum by Wavelet transform based...
MassSpecWavelet-package
R Documentation
Peak detection of mass spectrum by Wavelet transform based methods
Description
Process Mass Spectrum (MS) by Wavelet Transforms-based algorithms
Details
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.
Author(s)
Pan Du, Simon Lin
Maintainer: Pan Du <dupan@northwestern.edu>
References
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.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(MassSpecWavelet)
Loading required package: waveslim
waveslim: Wavelet Method for 1/2/3D Signals (version = 1.7.5)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/MassSpecWavelet/MassSpecWavelet.package.Rd_%03d_medium.png", width=480, height=480)
> ### Name: MassSpecWavelet-package
> ### Title: Peak detection of mass spectrum by Wavelet transform based
> ### methods
> ### Aliases: MassSpecWavelet-package MassSpecWavelet
> ### Keywords: package
>
> ### ** Examples
>
> 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))
>
>
>
>
>
> dev.off()
null device
1
>