escheR

This is the development version of escheR; for the stable release version, see escheR.

Unified multi-dimensional visualizations with Gestalt principles


Bioconductor version: Development (3.21)

The creation of effective visualizations is a fundamental component of data analysis. In biomedical research, new challenges are emerging to visualize multi-dimensional data in a 2D space, but current data visualization tools have limited capabilities. To address this problem, we leverage Gestalt principles to improve the design and interpretability of multi-dimensional data in 2D data visualizations, layering aesthetics to display multiple variables. The proposed visualization can be applied to spatially-resolved transcriptomics data, but also broadly to data visualized in 2D space, such as embedding visualizations. We provide this open source R package escheR, which is built off of the state-of-the-art ggplot2 visualization framework and can be seamlessly integrated into genomics toolboxes and workflows.

Author: Boyi Guo [aut, cre] (ORCID: ), Stephanie C. Hicks [aut] (ORCID: ), Erik D. Nelson [ctb] (ORCID: )

Maintainer: Boyi Guo <boyi.guo.work at gmail.com>

Citation (from within R, enter citation("escheR")):

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("escheR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("escheR")
beyond_visium HTML R Script
Getting Start with `escheR` HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews SingleCell, Software, Spatial, Transcriptomics, Visualization
Version 1.7.0
In Bioconductor since BioC 3.17 (R-4.3) (1.5 years)
License MIT + file LICENSE
Depends ggplot2, R (>= 4.3)
Imports SpatialExperiment(>= 1.6.1), SingleCellExperiment, rlang, SummarizedExperiment
System Requirements
URL https://github.com/boyiguo1/escheR
Bug Reports https://github.com/boyiguo1/escheR/issues
See More
Suggests STexampleData, BumpyMatrix, knitr, rmarkdown, BiocStyle, ggpubr, scran, scater, scuttle, Seurat, hexbin
Linking To
Enhances
Depends On Me
Imports Me SpotSweeper
Suggests Me tpSVG
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package escheR_1.7.0.tar.gz
Windows Binary (x86_64) escheR_1.7.0.zip
macOS Binary (x86_64) escheR_1.7.0.tgz
macOS Binary (arm64) escheR_1.7.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/escheR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/escheR
Bioc Package Browser https://code.bioconductor.org/browse/escheR/
Package Short Url https://bioconductor.org/packages/escheR/
Package Downloads Report Download Stats