scHOT

scHOT facilitates testing changes in higher order structure of gene expression along either a developmental trajectory or across space.

Key Features:

• Modular framework: scHOT is general and modular in nature and can be run in multiple data contexts.
• Multiple data contexts: scHOT supports analysis along a continuous trajectory, between discrete groups, and over spatial orientations.
• Higher order measurements: scHOT accommodates any higher order measurement such as variability or correlation.
• Complementary to differential expression: scHOT meaningfully adds to first order effect testing, such as differential expression, by providing a framework for interrogating higher order interactions from single cell data.

Scientific Applications:

• Developmental trajectory analysis: scHOT tests changes in higher order structure of gene expression along developmental trajectories.
• Spatial transcriptomics: scHOT tests changes in higher order structure of gene expression across space.
• Higher order interaction detection: scHOT provides a framework for interrogating higher order interactions from single cell data.

Methodology:

The sources do not provide explicit computational steps or methods.