Guo, Boyi;
Huuki-Myers, Louise A;
Grant-Peters, Melissa;
Collado-Torres, Leonardo;
Hicks, Stephanie C;
(2023)
escheR: unified multi-dimensional visualizations with Gestalt principles.
Bioinformatics Advances
, 3
(1)
, Article vbad179. 10.1093/bioadv/vbad179.
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Abstract
SUMMARY: 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 an 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. AVAILABILITY AND IMPLEMENTATION: The open source R package escheR is freely available on Bioconductor (https://bioconductor.org/packages/escheR).
Type: | Article |
---|---|
Title: | escheR: unified multi-dimensional visualizations with Gestalt principles |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1093/bioadv/vbad179 |
Publisher version: | http://dx.doi.org/10.1093/bioadv/vbad179 |
Language: | English |
Additional information: | © The Author(s) 2023. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Genetics and Genomic Medicine Dept |
URI: | https://discovery.ucl.ac.uk/id/eprint/10184733 |
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