bigPint: Big multivariate data plotted interactively

Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.

Package details

AuthorLindsay Rutter [aut, cre], Dianne Cook [aut]
Bioconductor views Clustering DataImport DifferentialExpression GeneExpression MultipleComparison Normalization Preprocessing QualityControl RNASeq Sequencing Software Transcription Visualization
MaintainerLindsay Rutter <lindsayannerutter@gmail.com>
LicenseGPL-3
Version1.6.0
URL https://github.com/lindsayrutter/bigPint
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("bigPint")

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bigPint documentation built on Nov. 8, 2020, 5:07 p.m.