StarmapVis

StarmapVis visualizes high-dimensional single-cell and spatial transcriptomic data to enable interactive exploration of cell clusters, trajectories, and spatial organization.

Key Features:

• Interactive Visualization: Enables interactive exploration of single-cell and spatial transcriptomic datasets across multiple viewing angles and representations.
• High-Dimensional Data Exploration: Projects high-dimensional datasets into "map" views to reveal cell clusters, trajectories, and local single-cell neighborhoods.
• Scatter Plots and Connectivity Networks: Generates scatter plots showing clustering and connectivity networks that illustrate trajectories and cross-comparisons among coordinates.
• Automated Animation: Produces automated animated transitions including conversion from two-dimensional spatial omic layouts to three-dimensional single-cell coordinates.
• Applied Examples: Demonstrated on four diverse datasets to illustrate visualization capabilities.

Scientific Applications:

• Cell type discovery: Supports identification of novel cell types from single-cell expression patterns.
• Trajectory analysis: Facilitates elucidation of developmental and cellular trajectories.
• Tissue architecture mapping: Enables exploration of tissue architecture using spatial transcriptomic and spatial omic data.
• Cellular heterogeneity and spatial context: Aids analysis of cellular heterogeneity and spatial relationships of gene expression.

Methodology:

Projection of high-dimensional single-cell and spatial transcriptomic data into map views, generation of interactive scatter plots and connectivity networks, and automated animated transitions between two-dimensional spatial omic layouts and three-dimensional single-cell coordinates.