Discover subgroups within your population from their molecular profiles to stratify samples and guide decisions.
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.
Identify the biomarkers in your data that indicate a specific biological state, process, or treatment response.
Uncover the mechanism behind your signature with topology-aware impact analysis: perturbed pathways and the upstream regulators driving them.
Annotate single cells in your sample, automatically or manually (by cluster), to define which cell populations are present.