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
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:
if (!requireNamespace("BiocManager", quietly = TRUE))


Try the pcaExplorer package in your browser

Any scripts or data that you put into this service are public.

pcaExplorer documentation built on Nov. 8, 2020, 5:29 p.m.