MassSpecWavelet-package: Peak detection of mass spectrum by Wavelet transform based...
In zeehio/MassSpecWavelet: Peak Detection for Mass Spectrometry data using wavelet-based algorithms
MassSpecWavelet-package R Documentation
Peak detection of mass spectrum by Wavelet transform based methods
Description
MassSpecWavelet R package is aimed to detect peaks on Mass Spectrometry (MS)
data using Continuous Wavelet Transform (CWT).
Author(s)
Pan Du, Simon Lin
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.
See Also
Useful links:
-
Report bugs at http://github.com/zeehio/MassSpecWavelet/issues
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))
zeehio/MassSpecWavelet documentation built on May 6, 2023, 1:32 a.m.
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| MassSpecWavelet-package | R Documentation |
Peak detection of mass spectrum by Wavelet transform based methods
Description
MassSpecWavelet R package is aimed to detect peaks on Mass Spectrometry (MS) data using Continuous Wavelet Transform (CWT).
Author(s)
Pan Du, Simon Lin
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.
See Also
Useful links:
Report bugs at http://github.com/zeehio/MassSpecWavelet/issues
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))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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