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.
Discover subgroups within your population from their molecular profiles to stratify samples and guide decisions.
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.
Identify the biomarkers in your data that indicate a specific biological state, process, or treatment response.