Order cells along developmental or regenerative trajectories, using pseudotime to trace how states emerge, diverge, and transition.
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.
Discover subgroups within your population from their molecular profiles to stratify samples and guide decisions.
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.