This is the development version of Cardinal; for the stable release version, see Cardinal.
A mass spectrometry imaging toolbox for statistical analysisBioconductor version: Development (3.22)
Implements statistical & computational tools for analyzing mass spectrometry imaging datasets, including methods for efficient pre-processing, spatial segmentation, and classification.
Author: Kylie Ariel Bemis [aut, cre]
Maintainer: Kylie Ariel Bemis <k.bemis at northeastern.edu>
Citation (from within R, entercitation("Cardinal")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("Cardinal")
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("Cardinal")
1. Cardinal 3: User guide for mass spectrometry imaging analysis HTML R Script 2. Cardinal 3: Statistical methods for mass spectrometry imaging HTML R Script Reference Manual PDF NEWS Text LICENSE Text Details biocViews Classification, Clustering, ImagingMassSpectrometry, ImmunoOncology, Infrastructure, Lipidomics, MassSpectrometry, Normalization, Proteomics, Regression, Software Version 3.11.0 In Bioconductor since BioC 3.1 (R-3.2) (10 years) License Artistic-2.0 | file LICENSE Depends R (>= 4.4), BiocParallel, BiocGenerics, ProtGenerics, S4Vectors, methods, stats, stats4 Imports CardinalIO, Biobase, EBImage, graphics, grDevices, irlba, Matrix, matter(>= 2.7.10), nlme, parallel, utils System Requirements URL http://www.cardinalmsi.org Bug Reports https://github.com/kuwisdelu/Cardinal/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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