Annotate single cells in your sample, automatically or manually (by cluster), to define which cell populations are present.
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.
Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.
Map your spatial architecture of a tissue, identifying distinct regions and how their cell types and pathways differ.
Discover subgroups within your population from their molecular profiles to stratify samples and guide decisions.