diff --git a/docs/conf.py b/docs/conf.py
index e90c3e8d..3cc016b9 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -115,7 +115,7 @@
     "mudata": ("https://mudata.readthedocs.io/stable/", None),
     "matplotlib": ("https://matplotlib.org/stable/", None),
     "numpy": ("https://numpy.org/doc/stable/", None),
-    "pandas": ("https://pandas.pydata.org/pandas-docs/stable/", None),
+    "pandas": ("https://pandas.pydata.org/docs/", None),
     "python": ("https://docs.python.org/3", None),
     "scipy": ("https://docs.scipy.org/doc/scipy/", None),
     "scanpy": ("https://scanpy.readthedocs.io/en/stable/", None),
diff --git a/pertpy/tools/_augur.py b/pertpy/tools/_augur.py
index 180ce45e..8e31ed27 100644
--- a/pertpy/tools/_augur.py
+++ b/pertpy/tools/_augur.py
@@ -792,7 +792,8 @@ def predict(
         adata.obs["augur_score"] = nan
         for cell_type in track(adata.obs["cell_type"].unique(), description="Processing data..."):
             cell_type_subsample = adata[adata.obs["cell_type"] == cell_type].copy()
-            if augur_mode in ("default", "permute"):
+
+            if augur_mode in ("default", "permute") and len(cell_type_subsample) >= min_cells:
                 cell_type_subsample = (
                     self.select_highly_variable(cell_type_subsample)
                     if not select_variance_features