Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.
Infer how your cell populations signal to one another, identifying the ligand-receptor interactions in your dataset.
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.
Order cells along developmental or regenerative trajectories, using pseudotime to trace how states emerge, diverge, and transition.
Uncover the mechanism behind your signature with topology-aware impact analysis: perturbed pathways and the upstream regulators driving them.