diff --git a/pertpy/tools/_coda/_base_coda.py b/pertpy/tools/_coda/_base_coda.py
index e600046d..4bb42433 100644
--- a/pertpy/tools/_coda/_base_coda.py
+++ b/pertpy/tools/_coda/_base_coda.py
@@ -1864,9 +1864,6 @@ def plot_draw_tree(  # pragma: no cover
             >>> )
             >>> tasccoda.run_nuts(mdata, num_samples=1000, num_warmup=100, rng_key=42)
             >>> tasccoda.plot_draw_tree(mdata, tree="lineage")
-
-        Preview:
-            #TODO: Add preview
         """
         try:
             from ete3 import CircleFace, NodeStyle, TextFace, Tree, TreeStyle, faces
@@ -1956,9 +1953,6 @@ def plot_draw_effects(  # pragma: no cover
             >>> )
             >>> tasccoda.run_nuts(mdata, num_samples=1000, num_warmup=100, rng_key=42)
             >>> pt.pl.coda.draw_effects(mdata, covariate="Health[T.Inflamed]", tree="lineage")
-
-        Preview:
-            #TODO: Add preview
         """
         try:
             from ete3 import CircleFace, NodeStyle, TextFace, Tree, TreeStyle, faces
@@ -2150,9 +2144,6 @@ def plot_effects_umap(  # pragma: no cover
             >>>                                      "effect_df_condition[T.Hpoly.Day10]"],
             >>>                                       cluster_key="nsbm_level_1",
             >>>                         )
-
-        Preview:
-            #TODO: Add preview
         """
         # TODO: Add effect_name parameter and cluster_key and test the example
         data_rna = data[modality_key_1]
diff --git a/pertpy/tools/_mixscape.py b/pertpy/tools/_mixscape.py
index 16f0cbff..93dae15f 100644
--- a/pertpy/tools/_mixscape.py
+++ b/pertpy/tools/_mixscape.py
@@ -443,7 +443,7 @@ def _get_perturbation_markers(
         min_de_genes: float,
         logfc_threshold: float,
     ) -> dict[tuple, np.ndarray]:
-        """determine gene sets across all splits/groups through differential gene expression
+        """Determine gene sets across all splits/groups through differential gene expression
 
         Args:
             adata: :class:`~anndata.AnnData` object
@@ -695,9 +695,6 @@ def plot_perturbscore(  # pragma: no cover
             perturbation_type: Specify type of CRISPR perturbation expected for labeling mixscape classifications.
                                Defaults to `KO`.
 
-        Returns:
-            None.
-
         Examples:
             Visualizing the perturbation scores for the cells in a dataset: