diff --git a/.gitignore b/.gitignore
index ed1fc807..62f82a84 100644
--- a/.gitignore
+++ b/.gitignore
@@ -282,3 +282,4 @@ err2.txt
 out2.txt
 *.err
 *.out
+results_July2021_gpu
diff --git a/src/ml_plots.py b/src/ml_plots.py
index 591e7381..a47e0216 100644
--- a/src/ml_plots.py
+++ b/src/ml_plots.py
@@ -127,6 +127,7 @@ def save_median_df(rel_cv, cut, symbol_dict, results_path):
 
 
 def plot_relevance_distribution(rel_cv, cut, symb_dict, pdir, extensions=exts):
+    sns.set_theme(context="paper", style="whitegrid")
     query_top = rel_cv.columns[rel_cv.median() > cut]
     to_plot = rel_cv.loc[:, query_top].copy()
     to_plot = to_plot.loc[:, to_plot.median().sort_values(ascending=False).index]
@@ -136,10 +137,21 @@ def plot_relevance_distribution(rel_cv, cut, symb_dict, pdir, extensions=exts):
     n_genes = to_plot.shape[1]
 
     # sns.set_context("poster")
-    plt.figure()
+    fig, ax = plt.subplots(1, 1)
+    #def set_size(fig):
+    #fig.set_size_inches(6, 3)
+        #plt.tight_layout()
     figsize_x = 1.0 if n_genes < 90 else 1.2
-    ax = to_plot.plot(kind="box", figsize=(16 * figsize_x, 9), rot=90)
-    ax.set_ylabel("Relevance")
+    to_plot = to_plot.melt()
+    sns.boxplot(x="variable", y="value", data=to_plot, color="lightgray", ax=ax)
+    #ax = to_plot.plot(kind="box", rot=90, color="lightgray")
+    ax.set_ylabel("Relevance", fontsize=12)
+    ax.set_xlabel("Gene", fontsize=12)
+    ax.set_xticklabels(ax.get_xticklabels(), rotation=90)
+    #set_size(fig)
+    sns.despine()
+    #g.fig.set_size_inches(6, 3)
+    fig.set_size_inches(6, 3)
     plt.tight_layout()
 
     name = "cv_relevance_distribution"
@@ -151,7 +163,7 @@ def plot_relevance_distribution(rel_cv, cut, symb_dict, pdir, extensions=exts):
     for ext in extensions:
         fname = f"{name}.{ext}"
         fpath = pdir.joinpath(fname)
-        plt.savefig(fpath, dpi=300, bbox_inches="tight", pad_inches=0)
+        fig.savefig(fpath, dpi=300, bbox_inches="tight", pad_inches=0.05)
     plt.close()