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escheR: unified multi-dimensional visualizations with Gestalt principles.
- Source :
-
Bioinformatics Advances . 2023, Vol. 3 Issue 1, p1-5. 5p. - Publication Year :
- 2023
-
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). [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- Volume :
- 3
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Bioinformatics Advances
- Publication Type :
- Academic Journal
- Accession number :
- 179072816
- Full Text :
- https://doi.org/10.1093/bioadv/vbad179