CardinalWorkflows
Datasets and workflows for the Cardinal mass spectrometry imaging package
Bioconductor version: Release (3.19)
Datasets and workflows for Cardinal: DESI and MALDI examples including pig fetus, cardinal painting, and human RCC.
Author: Kylie A. Bemis <k.bemis at northeastern.edu>
Maintainer: Kylie A. Bemis <k.bemis at northeastern.edu>
Citation (from within R, enter
citation("CardinalWorkflows")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CardinalWorkflows")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CardinalWorkflows")
1. Segmentation: Unsupervised analysis workflow | HTML | R Script |
2. Classification: Supervised analysis workflow | HTML | R Script |
3. Class comparision: Statistical testing workflow | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | ExperimentData, ImagingMassSpectrometryData, MassSpectrometryData |
Version | 1.36.0 |
License | Artistic-2.0 |
Depends | R (>= 2.10), Cardinal, methods |
Imports | |
System Requirements | |
URL |
See More
Suggests | BiocStyle, knitr, rmarkdown |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | CardinalWorkflows_1.36.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/CardinalWorkflows |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CardinalWorkflows |
Package Short Url | https://bioconductor.org/packages/CardinalWorkflows/ |
Package Downloads Report | Download Stats |