ivygapSE

This is the development version of ivygapSE; for the stable release version, see ivygapSE.

A SummarizedExperiment for Ivy-GAP data


Bioconductor version: Development (3.20)

Define a SummarizedExperiment and exploratory app for Ivy-GAP glioblastoma image, expression, and clinical data.

Author: Vince Carey

Maintainer: VJ Carey <stvjc at channing.harvard.edu>

Citation (from within R, enter citation("ivygapSE")):

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ivygapSE")

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("ivygapSE")
ivygapSE -- SummarizedExperiment for Ivy-GAP HTML R Script
Reference Manual PDF

Details

biocViews GeneExpression, Sequencing, Software, Survival, Transcription, Visualization
Version 1.27.0
In Bioconductor since BioC 3.6 (R-3.4) (7 years)
License Artistic-2.0
Depends R (>= 3.5.0), SummarizedExperiment
Imports shiny, survival, survminer, hwriter, plotly, ggplot2, S4Vectors, graphics, stats, utils, UpSetR
System Requirements
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Suggests knitr, png, limma, grid, DT, randomForest, digest, testthat, rmarkdown, BiocStyle, magick, statmod, codetools
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ivygapSE_1.27.0.tar.gz
Windows Binary ivygapSE_1.27.0.zip
macOS Binary (x86_64) ivygapSE_1.27.0.tgz
macOS Binary (arm64) ivygapSE_1.27.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ivygapSE
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ivygapSE
Bioc Package Browser https://code.bioconductor.org/browse/ivygapSE/
Package Short Url https://bioconductor.org/packages/ivygapSE/
Package Downloads Report Download Stats