escheR

escheR leverages Gestalt principles to create unified multi-dimensional visualizations in 2D space by layering aesthetics to display multiple variables, improving the design and interpretability of spatially-resolved transcriptomics data and other 2D data visualizations such as embedding visualizations.

Key Features:

• Gestalt-based multi-dimensional visualization: Layers multiple aesthetics to display multiple variables simultaneously in a 2D space.
• ggplot2 framework integration: Built on the ggplot2 visualization framework for seamless integration into genomics toolboxes and workflows.
• Broad applicability: Supports spatially-resolved transcriptomics data and general 2D data visualizations including embedding visualizations.

Scientific Applications:

• Spatially-resolved transcriptomics visualization: Visualizes multi-dimensional spatial transcriptomics data in 2D space.
• Embedding visualization: Applies layered aesthetic principles to dimensionality reduction and embedding visualizations in 2D space.

Methodology:

escheR applies Gestalt principles to layer multiple aesthetics for displaying multiple variables in 2D visualizations, implemented as an R package built on the ggplot2 framework.