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.
Annotate single cells in your sample, automatically or manually (by cluster), to define which cell populations are present.
Map your spatial architecture of a tissue, identifying distinct regions and how their cell types and pathways differ.
Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.
Order cells along developmental or regenerative trajectories, using pseudotime to trace how states emerge, diverge, and transition.