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.
Map your spatial architecture of a tissue, identifying distinct regions and how their cell types and pathways differ.
Identify the biomarkers in your data that indicate a specific biological state, process, or treatment response.
Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.
Infer how your cell populations signal to one another, identifying the ligand-receptor interactions in your dataset.