federicomarini/pcaExplorer: Interactive Visualization of RNA-seq Data Using a Principal Components Approach
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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | DimensionReduction GUI ImmunoOncology PrincipalComponent QualityControl RNASeq ReportWriting ShinyApps Visualization |
| Maintainer | |
| License | MIT + file LICENSE |
| Version | 2.99.1 |
| URL | https://github.com/federicomarini/pcaExplorer https://federicomarini.github.io/pcaExplorer/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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