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
This package is considered a duplicate. The official version of this package is found at:https://bioc.r-universe.dev/MassSpecWavelet
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:
MassSpecWavelet_1.79.2.tar.gz
MassSpecWavelet_1.79.2.zip(r-4.7)MassSpecWavelet_1.79.2.zip(r-4.6)MassSpecWavelet_1.79.2.zip(r-4.5)
MassSpecWavelet_1.79.2.tgz(r-4.6-x86_64)MassSpecWavelet_1.79.2.tgz(r-4.6-arm64)MassSpecWavelet_1.79.2.tgz(r-4.5-x86_64)MassSpecWavelet_1.79.2.tgz(r-4.5-arm64)
MassSpecWavelet_1.79.2.tar.gz(r-4.7-arm64)MassSpecWavelet_1.79.2.tar.gz(r-4.7-x86_64)MassSpecWavelet_1.79.2.tar.gz(r-4.6-arm64)MassSpecWavelet_1.79.2.tar.gz(r-4.6-x86_64)
MassSpecWavelet_1.79.2.tgz(r-4.6-emscripten)
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:
- exampleMS - An example mass spectrum
On BioConductor:MassSpecWavelet-1.79.0(bioc 3.24)MassSpecWavelet-1.78.0(bioc 3.23)
immunooncologymassspectrometryproteomicspeakdetection
Last updated from:209290b7ad. Checks:11 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 155 | ||
| linux-devel-x86_64 | NOTE | 159 | ||
| source / vignettes | OK | 209 | ||
| linux-release-arm64 | NOTE | 156 | ||
| linux-release-x86_64 | NOTE | 135 | ||
| macos-release-arm64 | NOTE | 82 | ||
| macos-release-x86_64 | NOTE | 173 | ||
| macos-oldrel-arm64 | NOTE | 90 | ||
| macos-oldrel-x86_64 | NOTE | 194 | ||
| windows-devel | NOTE | 96 | ||
| windows-release | NOTE | 100 | ||
| windows-oldrel | NOTE | 96 | ||
| wasm-release | OK | 88 |
Exports:cwtgetLocalMaximumCWTgetRidgegetRidgeLengthidentifyMajorPeakslocalMaximummexhpeakDetectionCWTplotLocalMaxplotPeakplotRidgeListprepareWaveletstuneInPeakInfo
Dependencies:
Using the MassSpecWavelet package
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
Last update: 2022-10-10
Started: 2022-10-06
