Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.
Identify the biomarkers in your data that indicate a specific biological state, process, or treatment response.
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.
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.