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

Last updated: December 24,2024

1. Install "r-bioc-biocneighbors" package

This guide covers the steps necessary to install r-bioc-biocneighbors on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-bioc-biocneighbors
            
                    
    
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2. Uninstall "r-bioc-biocneighbors" package

Please follow the steps below to uninstall r-bioc-biocneighbors on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-bioc-biocneighbors
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-biocneighbors package on Kali Linux

Package: r-bioc-biocneighbors
Version: 1.20.2+ds-1
Installed-Size: 1466
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-cran-rcpp, r-bioc-s4vectors, r-bioc-biocparallel, r-cran-matrix, r-cran-rcpphnsw, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-fnn, r-cran-rcppannoy
Size: 598728
SHA256: f736b3c9c362eb6ab598fcff72804f53e82c2d2ee34e563a843206561349dfa1
SHA1: 6d52b506ed2853d9e6d71134eb06cc8b6e77e53d
MD5sum: 2c7de53b86c8f5dabe7a3ddc1eaaee98
Description: Nearest Neighbor Detection for Bioconductor Packages
Implements exact and approximate methods for nearest neighbor
detection, in a framework that allows them to be easily switched within
Bioconductor packages or workflows. Exact searches can be performed using
the k-means for k-nearest neighbors algorithm or with vantage point trees.
Approximate searches can be performed using the Annoy or HNSW libraries.
Searching on either Euclidean or Manhattan distances is supported.
Parallelization is achieved for all methods by using BiocParallel. Functions
are also provided to search for all neighbors within a given distance.
Description-md5:
Homepage: https://bioconductor.org/packages/BiocNeighbors/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-biocneighbors/r-bioc-biocneighbors_1.20.2+ds-1_amd64.deb