Package: MassSpecWavelet 1.79.2

MassSpecWavelet: Peak Detection for Mass Spectrometry data using wavelet-based algorithms

Peak Detection in Mass Spectrometry data is one of the important preprocessing steps. The performance of peak detection affects subsequent processes, including protein identification, profile alignment and biomarker identification. Using Continuous Wavelet Transform (CWT), this package provides a reliable algorithm for peak detection that does not require any type of smoothing or previous baseline correction method, providing more consistent results for different spectra. See <doi:10.1093/bioinformatics/btl355} for further details.

Authors:Pan Du [aut], Warren Kibbe [aut], Simon Lin [aut], Sergio Oller Moreno [aut, cre]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MassSpecWavelet/json (API)

# Install 'MassSpecWavelet' in R:
install.packages('MassSpecWavelet', repos = c('https://zeehio.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zeehio/massspecwavelet/issues

Datasets:

On BioConductor:MassSpecWavelet-1.79.1(bioc 3.24)MassSpecWavelet-1.78.0(bioc 3.23)

immunooncologymassspectrometryproteomicspeakdetection

8.34 score 11 stars 21 packages 49 scripts 13 exports 0 dependencies

Last updated from:1665dd8ea2. Checks:11 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
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linux-devel-x86_64NOTE137
source / vignettesOK205
linux-release-arm64NOTE134
linux-release-x86_64NOTE144
macos-release-arm64NOTE125
macos-release-x86_64NOTE235
macos-oldrel-arm64NOTE106
macos-oldrel-x86_64NOTE245
windows-develNOTE91
windows-releaseNOTE100
windows-oldrelNOTE100
wasm-releaseOK92

Exports:cwtgetLocalMaximumCWTgetRidgegetRidgeLengthidentifyMajorPeakslocalMaximummexhpeakDetectionCWTplotLocalMaxplotPeakplotRidgeListprepareWaveletstuneInPeakInfo

Dependencies:

Using the MassSpecWavelet package
Version Info | Overview of MassSpecWavelet | Peak detection by using CWT-based pattern matching | Continuous wavelet transform with Mexican Hat wavelet | Peak identification process | Refine the peak parameter estimation | Future Extension | Acknowledgments | Session Information
Rendered fromMassSpecWavelet.Rmdusingknitr::rmarkdown

Last update: 2023-01-30
Started: 2022-04-04

Finding local maxima with MassSpecWavelet
Introduction | Problems with the classic algorithm | The new local maximum algorithm | Computational cost | Comparison on a real signal | Session Information
Rendered fromFindingLocalMaxima.Rmdusingknitr::rmarkdown

Last update: 2022-10-10
Started: 2022-10-06