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

Last updated: May 17,2024

1. Install "r-cran-sctransform" package

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

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

2. Uninstall "r-cran-sctransform" package

This tutorial shows how to uninstall r-cran-sctransform on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: r-cran-sctransform
Architecture: amd64
Version: 0.2.1-1build2
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: 401
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-future.apply, r-cran-ggplot2, r-cran-reshape2, r-cran-gridextra, r-cran-rcpp (>= 0.11.0), r-cran-rcppeigen, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-testthat
Suggests: r-cran-irlba, r-cran-knitr
Filename: pool/universe/r/r-cran-sctransform/r-cran-sctransform_0.2.1-1build2_amd64.deb
Size: 302956
MD5sum: 6fce3119155520ddd88e29600f088d13
SHA1: 279db6253de2b02efb5577c0c063d3436b535229
SHA256: 591470ed262544deaa864f40beeb4a4db7baab788fa806e34a4a4f99aac23956
SHA512: f1fa46e5cf4c0240c2b41a34f665fc2c2cd28a4975a789aba82934915abe2fdeeccaf3a0f23b2a5f5e3a15106e9c72214555f25af1999afd71034109d9bcea48
Homepage: https://cran.r-project.org/package=sctransform
Description-en: Variance Stabilizing Transformations for Single Cell UMI Data
A normalization method for single-cell UMI count data using a
variance stabilizing transformation. The transformation is based on a
negative binomial regression model with regularized parameters. As part of the
same regression framework, this package also provides functions for
batch correction, and data correction. See Hafemeister and Satija 2019
for more details.
Description-md5: 7d96f8664a9a855819d1bbe2d077943c