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.
Match your disease gene signature to drugs known to reverse it, or to drugs that produce a similar molecular effect.
Infer how your cell populations signal to one another, identifying the ligand-receptor interactions in your dataset.
Map your spatial architecture of a tissue, identifying distinct regions and how their cell types and pathways differ.