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.

Package details

AuthorFederico Marini [aut, cre] (<https://orcid.org/0000-0003-3252-7758>)
Bioconductor views DimensionReduction GUI ImmunoOncology PrincipalComponent QualityControl RNASeq ReportWriting Visualization
MaintainerFederico Marini <marinif@uni-mainz.de>
LicenseMIT + file LICENSE
Version2.14.2
URL https://github.com/federicomarini/pcaExplorer https://federicomarini.github.io/pcaExplorer/
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("pcaExplorer")

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pcaExplorer documentation built on June 8, 2020, 2 a.m.