CardinalWorkflows

This is the released version of CardinalWorkflows; for the devel version, see CardinalWorkflows.

Datasets and workflows for the Cardinal MSI

Bioconductor version: Release (3.23)

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")):

Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") 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	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ExperimentData, ImagingMassSpectrometryData, MassSpectrometryData
Version	1.44.0
License	Artistic-2.0
Depends	R (>= 2.10), Cardinal, methods
Imports
System Requirements
URL

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_1.44.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-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