diff --git a/docs/source/content/06_Release_notes.rst b/docs/source/content/06_Release_notes.rst
index dcd13d22..d292c8f1 100644
--- a/docs/source/content/06_Release_notes.rst
+++ b/docs/source/content/06_Release_notes.rst
@@ -4,7 +4,7 @@ Release Notes
 .. role:: small
 
 Version 0.13.0b1 (Bata)
----------------------
+------------------------
 0.13.0b1 : 2023-07-11
 ~~~~~~~~~~~~~~~~~~~~~~~~
 Notice: this Beta version is specifically developed for multi-sample analysis. Major update points are listed below.
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 6680a1e5..ab46502b 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -74,7 +74,7 @@ Latest Additions
 ------------------
 
 Version 0.13.0b1 (Beta)
-~~~~~~~~~~~~~~
+~~~~~~~~~~~~~~~~~~~~~~~~~
 0.13.0b1 : 2023-07-11
 
 Notice: this Beta version is specifically developed for multi-sample analysis. Major update points are listed below.
diff --git a/stereo/algorithm/regulatory_network_inference/plot_grn.py b/stereo/algorithm/regulatory_network_inference/plot_grn.py
index 224237af..859c7d82 100644
--- a/stereo/algorithm/regulatory_network_inference/plot_grn.py
+++ b/stereo/algorithm/regulatory_network_inference/plot_grn.py
@@ -363,14 +363,14 @@ def spatial_scatter_by_regulon_3D(
         view_horizontal: int=0,
         show_axis: bool=False,
         **kwargs):
-        """
-        Plot genes of one regulon on a 3D map
+        """Plot genes of one regulon on a 3D map
+
         :param network_res_key: the key which specifies inference regulatory network result in data.tl.result, defaults to 'regulatory_network_inference'
         :param reg_name: specify the regulon you want to draw, defaults to None, if none, will select randomly.
         :param fn: specify the file name of the output figure, defaults to None, if none, will use regulon name.
         :param view_vertical: vertical angle to view to the 3D object
         :param view_horizontal: horizontal angle to view the 3D object
-        :return: 
+
         Example:
             data.plt.plot_3d_reg('regulatory_network_inference', 'Zfp354c', view_vertical=30, view_horizontal=-30)
         """