Match your disease gene signature to drugs known to reverse it, or to drugs that produce a similar molecular effect.
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.
Order cells along developmental or regenerative trajectories, using pseudotime to trace how states emerge, diverge, and transition.
Uncover the mechanism behind your signature with topology-aware impact analysis: perturbed pathways and the upstream regulators driving them.
Identify the biomarkers in your data that indicate a specific biological state, process, or treatment response.