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6 changes: 3 additions & 3 deletions examples/10X_brain_5k/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@ In this example, we will be analyzing a dataset of 5K cells from the adult mouse
- [Step 7. Graph-based clustering](#cluster)
- [Step 8. Visualization](#viz)
- [Step 9. Gene based annotation](#gene_tsne)
- [Step 10. Heretical clustering](#heretical_clustering)
- [Step 10. Hierarchical clustering](#hierarchical_clustering)
- [Step 11. Identify peak](#peak_call)
- [Step 12. Create a cell-by-peak matrix](#create_pmat)
- [Step 13. Add cell-by-peak matrix](#add_pmat)
Expand Down Expand Up @@ -325,8 +325,8 @@ To help annotate identified cell clusters, SnapATAC next creates the cell-by-gen

<img src="./gene_plot.png" width="900" height="900" />

<a name="heretical_clustering"></a>**Step 10. Heretical clustering**
Next, cells belonging to the same cluster are pooled to create the aggregate signal for heretical clustering.
<a name="hierarchical_clustering"></a>**Step 10. Hierarchical clustering**
Next, cells belonging to the same cluster are pooled to create the aggregate signal for hierarchical clustering.

```R
# calculate the ensemble signals for each cluster
Expand Down