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

Last updated: December 29,2024

1. Install "r-bioc-demixt" package

Please follow the guidelines below to install r-bioc-demixt on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-demixt
            
                    
    
    Copied

2. Uninstall "r-bioc-demixt" package

Please follow the step by step instructions below to uninstall r-bioc-demixt on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-bioc-demixt
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-bioc-demixt
Version: 1.18.0+dfsg-1
Installed-Size: 3144
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-cran-rcpp (>= 1.0.0), r-bioc-summarizedexperiment, r-cran-knitr, r-cran-kernsmooth, r-cran-matrixcalc, r-cran-rmarkdown, r-bioc-dss, r-cran-dendextend, r-cran-psych, r-bioc-sva, r-cran-matrixstats, r-cran-truncdist, r-cran-base64enc, r-cran-ggplot2, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 13.1)
Size: 2663536
SHA256: f3ea94cc8a5187d815576872a2c6e97f56f59b6369e84af9737cb5fd93c7f065
SHA1: a185067a2a7ca34d9d644be61d4d77cfabec9053
MD5sum: b3e8de9b3e7799a1ae3c2546bae9020c
Description: Cell type-specific deconvolution of heterogeneous tumor samples
When studying cancer cells from tumors excised from patients, the samples
will be a mixture of tumors and healthy cells, e.g. from invading immune cells.
For comparing samples, the interest may be more on comparing the transcriptome
of the tumors themselves.
.
This package prepares the statistical separation (deconvolution)
of RNAseq or microarray generated expression data for two or three
components.
Description-md5:
Homepage: https://bioconductor.org/packages/DeMixT/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-demixt/r-bioc-demixt_1.18.0+dfsg-1_amd64.deb