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tcgaViz: Visualization Tool for the Cancer Genome Atlas Program (TCGA)

Differential analysis of tumor tissue immune cell type abundance based on RNA-seq gene-level expression from The Cancer Genome Atlas (TCGA; <https://pancanatlas.xenahubs.net>) database.

Version: 1.0.2
Depends: R (≥ 2.10)
Imports: config, data.table, dplyr, DT, ggplot2, ggpubr, golem, grDevices, magrittr, methods, plotly, readr, reshape2, rlang, rstatix, scales, shiny, shinyFeedback, shinyjs, stats, stringr, tidyr, tidyselect, utils
Suggests: covr, knitr, rmarkdown, spelling, testthat
Published: 2023-04-04
DOI: 10.32614/CRAN.package.tcgaViz
Author: Etienne Camenen [aut, cre], Gilles Marodon [aut], Nicolas Aubert [aut]
Maintainer: Etienne Camenen <etienne.camenen at gmail.com>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: tcgaViz results

Documentation:

Reference manual: tcgaViz.pdf
Vignettes: Tutorial

Downloads:

Package source: tcgaViz_1.0.2.tar.gz
Windows binaries: r-devel: tcgaViz_1.0.2.zip, r-release: tcgaViz_1.0.2.zip, r-oldrel: tcgaViz_1.0.2.zip
macOS binaries: r-release (arm64): tcgaViz_1.0.2.tgz, r-oldrel (arm64): tcgaViz_1.0.2.tgz, r-release (x86_64): tcgaViz_1.0.2.tgz, r-oldrel (x86_64): tcgaViz_1.0.2.tgz
Old sources: tcgaViz archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tcgaViz to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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