Package: MassSpecWavelet 1.67.0

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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NEWS

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

Peer review:

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

Datasets:

On BioConductor:MassSpecWavelet-1.73.0(bioc 3.21)MassSpecWavelet-1.72.0(bioc 3.20)

immunooncologymassspectrometryproteomicspeakdetection

7.25 score 8 stars 15 packages 35 scripts 13 exports 0 dependencies

Last updated 2 years agofrom:f8559ebe3e. Checks:OK: 1 NOTE: 8. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64NOTENov 07 2024
R-4.5-linux-x86_64NOTENov 07 2024
R-4.4-win-x86_64NOTENov 07 2024
R-4.4-mac-x86_64NOTENov 07 2024
R-4.4-mac-aarch64NOTENov 07 2024
R-4.3-win-x86_64NOTENov 07 2024
R-4.3-mac-x86_64NOTENov 07 2024
R-4.3-mac-aarch64NOTENov 07 2024

Exports:cwtgetLocalMaximumCWTgetRidgegetRidgeLengthidentifyMajorPeakslocalMaximummexhpeakDetectionCWTplotLocalMaxplotPeakplotRidgeListprepareWaveletstuneInPeakInfo

Dependencies:

Finding local maxima with MassSpecWavelet

Rendered fromFindingLocalMaxima.Rmdusingknitr::rmarkdownon Nov 07 2024.

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

Using the MassSpecWavelet package

Rendered fromMassSpecWavelet.Rmdusingknitr::rmarkdownon Nov 07 2024.

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