This is the first release of our hands-on workbook collection for learning spatial transcriptomics data analysis, with a focus on 10x Genomics Xenium data.
📘 What's Included
The R-based workbooks guide users through:
- Loading and exploring 10x Xenium data
- Quality control and normalization using SpaNorm
- Clustering using Leiden and SpatialLeiden algorithms
- Visualization and annotation of clusters
- Annotation of cells using a single-cell reference
- Identification of spatial domains with BANKSY
- Export to Xenium Explorer
👥 Contributors
Contributors
ktrns, rajinder4489, and 2 other contributors