Map your spatial architecture of a tissue, identifying distinct regions and how their cell types and pathways differ.
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.
Uncover the mechanism behind your signature with topology-aware impact analysis: perturbed pathways and the upstream regulators driving them.
Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.
Match your disease gene signature to drugs known to reverse it, or to drugs that produce a similar molecular effect.