Annotate single cells in your sample, automatically or manually (by cluster), to define which cell populations are present.
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.
Match your disease gene signature to drugs known to reverse it, or to drugs that produce a similar molecular effect.
Map your spatial architecture of a tissue, identifying distinct regions and how their cell types and pathways differ.