Order cells along developmental or regenerative trajectories, using pseudotime to trace how states emerge, diverge, and transition.
Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.
Map your spatial architecture of a tissue, identifying distinct regions and how their cell types and pathways differ.
Infer how your cell populations signal to one another, identifying the ligand-receptor interactions in your dataset.
Identify the biomarkers in your data that indicate a specific biological state, process, or treatment response.
Match your disease gene signature to drugs known to reverse it, or to drugs that produce a similar molecular effect.