Cardinal
A mass spectrometry imaging toolbox for statistical analysis
Bioconductor version: 3.24 · Package version: 3.15.0
Implements statistical & computational tools for analyzing mass spectrometry imaging datasets, including methods for efficient pre-processing, spatial segmentation, and classification.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Cardinal")Details
| Maintainer | Kylie Ariel Bemis <k.bemis@northeastern.edu> |
| Author | Kylie Ariel Bemis [aut, cre] |
| License | Artistic-2.0 | file LICENSE |
| URL | http://www.cardinalmsi.org |
| Bug Reports | https://github.com/kuwisdelu/Cardinal/issues |
| Downloads rank | 914 |
| Source branch | devel |
| biocViews | Classification, Clustering, ImagingMassSpectrometry, ImmunoOncology, Infrastructure, Lipidomics, MassSpectrometry, Normalization, Proteomics, Regression, Software |
Documentation
- Cardinal 3: User guide for mass spectrometry imaging analysis
- Cardinal 3: Statistical methods for mass spectrometry imaging
Download
Follow the installation instructions to use this package in your R session.
| Source package | Cardinal_3.15.0.tar.gz |
| Windows binary (x86_64) | Cardinal_3.15.0.zip |
| macOS binary (arm64) | Cardinal_3.15.0.tgz |
| macOS binary (x86_64) | Cardinal_3.15.0.tgz |
Dependencies
Depends: R (>= 4.4), BiocParallel, BiocGenerics, ProtGenerics, S4Vectors, methods, stats, stats4
Imports: CardinalIO, Biobase, graphics, grDevices, irlba, Matrix, matter (>= 2.7.10), nlme, parallel, utils
Suggests: BiocStyle, testthat, knitr, rmarkdown, emmeans, lme4, lmerTest
Reverse dependencies
Depends On Me (2): CardinalWorkflows, quantMSImageR