Order cells along developmental or regenerative trajectories, using pseudotime to trace how states emerge, diverge, and transition.
Map your spatial architecture of a tissue, identifying distinct regions and how their cell types and pathways differ.
Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.
Identify the biomarkers in your data that indicate a specific biological state, process, or treatment response.
Infer how your cell populations signal to one another, identifying the ligand-receptor interactions in your dataset.
Uncover the mechanism behind your signature with topology-aware impact analysis: perturbed pathways and the upstream regulators driving them.