diff --git a/deeprvat/deeprvat/associate.py b/deeprvat/deeprvat/associate.py
index bec7b0f0..029d65c5 100644
--- a/deeprvat/deeprvat/associate.py
+++ b/deeprvat/deeprvat/associate.py
@@ -635,7 +635,10 @@ def compute_burdens(
         source_path.symlink_to(link_burdens)
 
 
-def regress_on_gene_scoretest(gene: str, burdens: np.ndarray, model_score,
+def regress_on_gene_scoretest(
+    gene: str,
+    burdens: np.ndarray,
+    model_score,
 ) -> Tuple[List[str], List[float], List[float]]:
     """
     Perform regression on a gene using the score test.
diff --git a/deeprvat/metrics.py b/deeprvat/metrics.py
index c65c1679..f7b74a01 100644
--- a/deeprvat/metrics.py
+++ b/deeprvat/metrics.py
@@ -18,6 +18,7 @@ class RSquared:
     """
     Calculates the R-squared (coefficient of determination) between predictions and targets.
     """
+
     def __init__(self):
         pass
 
@@ -42,6 +43,7 @@ class PearsonCorr:
     """
     Calculates the Pearson correlation coefficient between burdens and targets.
     """
+
     def __init__(self):
         pass
 
@@ -77,6 +79,7 @@ class PearsonCorrTorch:
     """
     Calculates the Pearson correlation coefficient between burdens and targets using PyTorch tensor operations.
     """
+
     def __init__(self):
         pass
 
@@ -125,6 +128,7 @@ class AveragePrecisionWithLogits:
     """
     Calculates the average precision score between logits and targets.
     """
+
     def __init__(self):
         pass