annotation-tangram

What problem does it solve?

Tangram enables the transfer of cell-type annotations from a matched single-cell reference onto spatial transcriptomics data, providing spatially-resolved cell type labels.

Core Features & Use Cases

• Cross-modal mapping: projects scRNA-seq cell types onto tissue coordinates for both cell-level annotation and spot-level deconvolution.
• Flexible workflow: loads the spatial slice and reference, selects cell-type markers, runs Tangram mapping, and stores predictions.
• Use Case: annotate a tumor biopsy by projecting known cell types onto the spatial map to reveal spatial organization of cell populations.

Quick Start

Provide a reference scRNA-seq dataset and a matching spatial dataset, then run the Tangram pipeline to project cell-type labels onto spatial coordinates.