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

Package details

AuthorFederico Marini [aut, cre]
Bioconductor views DimensionReduction GUI PrincipalComponent QualityControl RNASeq ReportWriting Visualization
MaintainerFederico Marini <[email protected]>
LicenseMIT + file LICENSE
URL https://github.com/federicomarini/pcaExplorer https://federicomarini.github.io/pcaExplorer/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
federicomarini/pcaExplorer documentation built on Dec. 8, 2018, 10:24 p.m.