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volcano3D (version 1.2.0)

Interactive Plotting of Three-Way Differential Expression Analysis

Description

Differential expression (DE) analysis can be used to discover quantitative changes in expression levels between experimental groups. Such results are typically visualised using volcano plots, however in cases where more than two experimental groups are involved, visualising results can become convoluted and it quickly becomes difficult to see the wood for the trees. This package provides easy-to-use functions to extract and visualise outputs from DE between three groups (primarily aimed at 'limma' and 'DESeq2' outputs). We present novel methods to map DE results into polar coordinates to enable users to combine and simultaneously view three sets of results. These graphics also possess optional 'plotly' outputs for interactive and three-dimensional functionality, as seen in Lewis et. al. (2019) .

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install.packages('volcano3D')

Monthly Downloads

229

Version

1.2.0

License

GPL-2

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Maintainer

Katriona Goldmann

Last Published

March 31st, 2021

Functions in volcano3D (1.2.0)

polar-class

An S4 class to define the polar coordinates and pvalues for polar differential expression plots
significance_subset

Extract a subset population
radial_ggplot

'Ggplot' for Three Way Polar Plot
grid-class

An S4 class to define the polar grid coordinates system.
syn_example_meta

PEAC synovial sample data
polar_coords

Coordinates for Three Way Polar Plot
boxplot_trio

Boxplot to compare groups
show_grid

Plots grid objects for inspection using plotly
polar_grid

Grid required for 3D volcano plot and 2D radial plots
radial_plotly

Three-way radial comparison Polar Plot (using plotly)
volcano_trio

Volcano Plots for a three-way comparison
syn_example_rld

PEAC synovial gene expression data
syn_example_p

Synovial differential expression of genes across pathotypes in PEAC cohort
volcano3D

Three-Dimensional Volcano Plot
volcano_plot

Creates a single volcano plot