spatial-transcriptomics-cell-type-annotation

Installation
SKILL.md

Spatial Cell Type Annotation (single-cell resolution)

Overview

Annotates cells and tissue niches in imaging-based spatial data, where each observation is one segmented cell. A tissue- and state-matched scRNA-seq reference is pulled from CELLxGENE, its labels are transferred with Harmony, and each cluster is then named from a table that puts its markers next to the transferred labels. Output: an AnnData with per-cell labels, confidence and niches, plus the evidence table behind every name.

Check the platform before anything else:

Signal Single-cell resolution -> this skill Spot-based -> spatial-transcriptomics-deconvolution-cell2location
Genes ~100-5,000 targeted panel ~18,000-33,000 (whole transcriptome)
Files cell_feature_matrix.h5, cells.csv(.gz), experiment.xenium filtered_feature_bc_matrix.h5, spatial/tissue_positions*.csv
Platforms Xenium, MERFISH, CosMx, SeqFISH Visium, Visium HD bins, Slide-seq, ST
Installs
1
GitHub Stars
384
First Seen
2 days ago
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