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quantMSImageR

Processing and Quantification of Targeted Mass Spectrometry Imaging Data

Bioconductor version: 3.24 · Package version: 0.99.9

Implements tools for processing and quantifying targeted DESI-MRM mass spectrometry imaging (MSI) datasets, extending the Cardinal package. Includes signal-to-noise filtering against background pixels, tissue/background separation, per-feature ion images, quantile heatmaps, quantification against on-slide or on-tissue calibration standards, and batch export of per-feature text images for external viewers.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("quantMSImageR")

Details

MaintainerMatthew J. Smith <mattyjsmith123@gmail.com>
AuthorMatthew J. Smith [aut, cre] (ORCID: <https://orcid.org/0000-0002-7357-2670>)
LicenseMIT + file LICENSE
URLhttps://mjs-708.github.io/quantMSImageR, https://github.com/MJS-708/quantMSImageR
Bug Reportshttps://github.com/MJS-708/quantMSImageR/issues
Downloads rank4
Source branchdevel
biocViewsImagingMassSpectrometry, Lipidomics, MassSpectrometry, Metabolomics, Normalization, QualityControl, Software, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagequantMSImageR_0.99.9.tar.gz
Windows binary (x86_64)quantMSImageR_0.99.9.zip
macOS binary (arm64)quantMSImageR_0.99.9.tgz
macOS binary (x86_64)quantMSImageR_0.99.9.tgz
Dependencies

Depends: R (>= 4.5.0), Cardinal (>= 3.6.2)

Imports: methods, stats, utils, grDevices, grid, chemCal (>= 0.2.3), viridis (>= 0.6.5), ComplexHeatmap (>= 2.20.0), circlize (>= 0.4.15), pracma (>= 2.4.0), rmarkdown (>= 2.20), purrr (>= 1.0.0), CardinalIO (>= 1.0.0), ProtGenerics (>= 1.34.0), dplyr (>= 1.1.4), ggplot2 (>= 4.0.0), tibble (>= 3.2.1), tidyr (>= 1.3.1), patchwork (>= 1.2.0), yaml (>= 2.3.0)

Suggests: testthat (>= 3.0.0), knitr (>= 1.40), BiocStyle (>= 2.28.0), rstudioapi (>= 0.15.0), DT (>= 0.33), htmltools (>= 0.5.0), magick (>= 2.8.4), openxlsx (>= 4.2.0), matter (>= 2.0.0)