How to Install and Uninstall r-cran-wgcna Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "r-cran-wgcna" package

Please follow the step by step instructions below to install r-cran-wgcna on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install r-cran-wgcna

2. Uninstall "r-cran-wgcna" package

Learn how to uninstall r-cran-wgcna on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove r-cran-wgcna $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-wgcna package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-wgcna
Architecture: amd64
Version: 1.69-1build1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3112
Provides: r-bioc-wgcna
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-dynamictreecut (>= 1.62), r-cran-fastcluster, r-cran-matrixstats (>= 0.8.1), r-cran-hmisc, r-bioc-impute, r-cran-foreach, r-cran-doparallel, r-bioc-preprocesscore, r-cran-survival, r-bioc-go.db, r-bioc-annotationdbi, r-cran-rcpp (>= 0.11.0), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Suggests: r-bioc-org.hs.eg.db
Filename: pool/universe/r/r-cran-wgcna/r-cran-wgcna_1.69-1build1_amd64.deb
Size: 2913492
MD5sum: 06bfd4d6be0216133af624f5eab5354b
SHA1: bd8e20eb4187978e9d3fd2af4f52b7f364985fdb
SHA256: 64800554da89c6ce13b5fd69cc353b0392e4f3d0908d3288ed2b8892d507f74e
SHA512: 138224556777c4265a3c08a17a9f7716dce7c6f6446cf625f462c6b1d8daf3fea60d87e1c0a5294a13a18e1621f59558955aa997766474b14ceeafe822b9340f
Homepage: https://cran.r-project.org/package=WGCNA
Description-en: Weighted Correlation Network Analysis
Functions necessary to perform Weighted Correlation Network Analysis
on high-dimensional data as originally described in Horvath and Zhang
(2005) and Langfelder and Horvath (2008)
. Includes functions for rudimentary data
cleaning, construction of correlation networks, module identification,
summarization, and relating of variables and modules to sample
traits. Also includes a number of utility functions for data manipulation
and visualization.
Description-md5: fa2a47b4269b60803464374fdef281a3