Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.
Infer how your cell populations signal to one another, identifying the ligand-receptor interactions in your dataset.
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.
Match your disease gene signature to drugs known to reverse it, or to drugs that produce a similar molecular effect.
Uncover the mechanism behind your signature with topology-aware impact analysis: perturbed pathways and the upstream regulators driving them.