Infer how your cell populations signal to one another, identifying the ligand-receptor interactions in your dataset.
Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.
Order cells along developmental or regenerative trajectories, using pseudotime to trace how states emerge, diverge, and transition.
Match your disease gene signature to drugs known to reverse it, or to drugs that produce a similar molecular effect.
Identify the biomarkers in your data that indicate a specific biological state, process, or treatment response.
Discover subgroups within your population from their molecular profiles to stratify samples and guide decisions.