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This package provides functionality for interactive visualization of RNA-seq datasets based on Principal Components Analysis. The methods provided allow for quick information extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
Package details |
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Author | Federico Marini [aut, cre] (<https://orcid.org/0000-0003-3252-7758>) |
Bioconductor views | DimensionReduction GUI ImmunoOncology PrincipalComponent QualityControl RNASeq ReportWriting Visualization |
Maintainer | Federico Marini <marinif@uni-mainz.de> |
License | MIT + file LICENSE |
Version | 2.16.0 |
URL | https://github.com/federicomarini/pcaExplorer https://federicomarini.github.io/pcaExplorer/ |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
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