How to Install and Uninstall r-bioc-biocsingular Package on Kali Linux

Last updated: May 09,2024

1. Install "r-bioc-biocsingular" package

Here is a brief guide to show you how to install r-bioc-biocsingular on Kali Linux

$ sudo apt update $ sudo apt install r-bioc-biocsingular

2. Uninstall "r-bioc-biocsingular" package

Please follow the guidance below to uninstall r-bioc-biocsingular on Kali Linux:

$ sudo apt remove r-bioc-biocsingular $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-bioc-biocsingular package on Kali Linux

Package: r-bioc-biocsingular
Version: 1.18.0+ds-1
Installed-Size: 589
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-biocgenerics, r-bioc-s4vectors, r-cran-matrix, r-bioc-delayedarray, r-bioc-biocparallel, r-bioc-scaledmatrix, r-cran-irlba, r-cran-rsvd, r-cran-rcpp, r-bioc-beachmat, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-residualmatrix
Size: 353232
SHA256: c885fe49280bf0066f6f69df8126d4d39d5e0c36e23465bce044dde5af39d25d
SHA1: 32b4cbc5b443aa72c7e644cbcac2b84c94fd0ad1
MD5sum: 34d080478e32c07c77a837a519c7af3b
Description: Singular Value Decomposition for Bioconductor Packages
Implements exact and approximate methods for singular value
decomposition and principal components analysis, in a framework that
allows them to be easily switched within Bioconductor packages or
workflows. Where possible, parallelization is achieved using
the BiocParallel framework.
Description-md5:
Homepage: https://bioconductor.org/packages/BiocSingular/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-biocsingular/r-bioc-biocsingular_1.18.0+ds-1_amd64.deb