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.
Infer how your cell populations signal to one another, identifying the ligand-receptor interactions in your dataset.
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.
Annotate single cells in your sample, automatically or manually (by cluster), to define which cell populations are present.