🎨 try to set hyperlink

acore/exploratory_analysis.py

@@ -35,7 +35,7 @@ def get_coefficient_variation(data, drop_columns, group, columns=["name", "y"]):
     :param list columns: names to use for the variable column(s), and for the value column(s)
     :return: Pandas dataframe with columns 'name' (protein identifier), 'x' (coefficient of variation), 'y' (mean) and 'group'.
 
-    Exmaple::
+    Example::
 
         result = get_coefficient_variation(data, drop_columns=['sample', 'subject'], group='group')
     """

acore/multiple_testing.py

@@ -9,10 +9,14 @@
 # multitest.multitest_methods_names
 
 
-def apply_pvalue_correction(pvalues, alpha: float = 0.05, method: str = "bonferroni"):
+def apply_pvalue_correction(
+    pvalues: np.ndarray, alpha: float = 0.05, method: str = "bonferroni"
+) -> tuple[np.ndarray, np.ndarray]:
     """
     Performs p-value correction using the specified method as in
-    statsmodels.stats.multitest.multipletests.
+    statsmodels.stats.multitest.multipletests_.
+
+    .. _statsmodels.stats.multitest.multipletests: https://www.statsmodels.org/dev/generated/statsmodels.stats.multitest.multipletests.html
 
     For more information visit
     https://www.statsmodels.org/dev/generated/statsmodels.stats.multitest.multipletests.html.