This is the released version of MassSpecWavelet; for the devel version, see MassSpecWavelet.
Peak Detection for Mass Spectrometry data using wavelet-based algorithmsBioconductor version: Release (3.21)
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
Author: Pan Du [aut], Warren Kibbe [aut], Simon Lin [aut], Sergio Oller Moreno [aut, cre] ORCID: 0000-0002-8994-1549
Maintainer: Sergio Oller Moreno <sergioller at gmail.com>
Citation (from within R, entercitation("MassSpecWavelet")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MassSpecWavelet")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MassSpecWavelet")Follow Installation instructions to use this package in your R session.
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