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The target audience are researchers that are interested to analyse spatial transcriptomics datasets. Attendees should have basic understanding of:
- The programming language R
- Dimensionality reduction techniques (PCA, UMAP)
- Clustering techniques
Dimensionality reduction and clustering techniques are taught in the SIB course ‘Single-Cell Transcriptomics with R’ and prerequisites can be obtained through self-learning at [https://sib-swiss.github.io/single-cell-training/](https://sib-swiss.github.io/single-cell-training/).