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

Last updated: December 24,2024

1. Install "r-bioc-singler" package

Learn how to install r-bioc-singler on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-singler
            
                    
    
    Copied

2. Uninstall "r-bioc-singler" package

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


    
        
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                sudo apt remove
            
                        
                r-bioc-singler
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-bioc-singler
Version: 2.4.1+ds-1
Installed-Size: 795
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-summarizedexperiment, r-cran-matrix, r-bioc-s4vectors, r-bioc-delayedarray, r-bioc-delayedmatrixstats, r-bioc-biocparallel, r-bioc-biocsingular, r-cran-rcpp, r-bioc-beachmat, r-bioc-biocneighbors, libc6 (>= 2.32), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-bioc-biocgenerics, r-bioc-singlecellexperiment, r-bioc-scuttle, r-bioc-scater, r-bioc-scran, r-bioc-scrnaseq, r-cran-ggplot2, r-cran-pheatmap, r-cran-gridextra, r-cran-viridis
Size: 334780
SHA256: a5e6c208ddeff1b65c85ac9b0398b335fda673e13298ffb6a92d61a82cf896f4
SHA1: 6acb18377253b8c87b949dbe184ef4478c4dbe6e
MD5sum: 4255e066ab1df6770b0019a170f34b81
Description: BioConductor reference-based single-cell RNA-Seq annotation
Performs unbiased cell type recognition from single-cell RNA
sequencing data, by leveraging reference transcriptomic datasets of pure cell
types to infer the cell of origin of each single cell independently.
Description-md5:
Homepage: https://bioconductor.org/packages/SingleR/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-singler/r-bioc-singler_2.4.1+ds-1_amd64.deb