fix linting error

topics/single-cell/tutorials/scatac-batch-correction-snapatac2/tutorial.md

@@ -194,12 +194,12 @@ The first step is to import the datasets into an AnnData object using the *pp.im
 
 The {TSSe} threshold balances data retention and quality control. In our dataset, the {TSSe} distributions indicate substantial differences in sample quality between batches. To retain as much biological data as possible, we will use a broader filter (e.g., minimum {TSSe} = 7.0).
 
-**Standard {TSSe} Thresholds**
+Standard {TSSe} Thresholds
 - **Strict (TSSe ≥ 10–15)**: High-confidence cells.
 - **Moderate (TSSe ≥ 7–10)**: Balances data retention and quality but may include lower-quality cells.
 - **Broad (TSSe ≥ 5–7)**: Maximizes retention but increases the risk of including lower-quality data.
 
-**Choosing the Right Cutoff**
+Choosing the Right Cutoff
 - If sample quality varies, a **moderate threshold (≥7.0)** helps retain more data.
 - If high-quality data is required, **stricter filtering (≥10.0)** is recommended.
 - Inspect {TSSe} distributions to determine the most suitable threshold for your dataset.