Match your disease gene signature to drugs known to reverse it, or to drugs that produce a similar molecular effect.
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.
Identify the biomarkers in your data that indicate a specific biological state, process, or treatment response.
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.