diff --git a/analysis/top_ranking_pairs_network_visualization.py b/analysis/top_ranking_pairs_network_visualization.py
index 01b051b..d697b5f 100644
--- a/analysis/top_ranking_pairs_network_visualization.py
+++ b/analysis/top_ranking_pairs_network_visualization.py
@@ -61,16 +61,19 @@ def build_argument_parser():
     subtypes = os.listdir(args.results_dir)
     for subtype in subtypes:
         results_fn = os.path.join(args.results_dir, subtype, "complete_pairwise_ixn_results.csv")
+        cnt_mtx_fn = os.path.join(args.results_dir, subtype, "count_matrix.csv")
         decoy_genes_fn = os.path.join(args.decoy_genes_dir, f"{subtype}_decoy_genes.txt")
         if not os.path.exists(results_fn) or not os.path.exists(decoy_genes_fn):
             logging.info(f"Skipping {subtype} since input files not found")
             continue
         results_df = pd.read_csv(results_fn)
         decoy_genes = set(pd.read_csv(decoy_genes_fn, header=None, names=["Gene"])["Gene"])
+        num_samples = pd.read_csv(cnt_mtx_fn, index_col=0).shape[0]
         draw_network_gridplot_across_methods(
             args.top_k,
             subtype,
             driver_genes,
             decoy_genes,
             results_df,
+            num_samples,
         )
diff --git a/src/dialect/utils/plotting.py b/src/dialect/utils/plotting.py
index 6352f7a..b581ecb 100644
--- a/src/dialect/utils/plotting.py
+++ b/src/dialect/utils/plotting.py
@@ -34,7 +34,7 @@
 DECOY_GENE_COLOR = "#FFB3B3"  # Pastel red for decoy genes
 DRIVER_GENE_COLOR = "#A3C1DA"  # Blue-gray for driver genes
 EDGE_COLOR = "black"
-EPSILON_MUTATION_COUNT = 20  # minimum count of mutations
+EPSILON_MUTATION_COUNT = 10  # minimum count of mutations
 PVALUE_THRESHOLD = 1
 
 
@@ -144,6 +144,7 @@ def draw_network_gridplot_across_methods(
     driver_genes,
     decoy_genes,
     results_df,
+    num_samples,
 ):
     # TODO: move this to shared location to use across this and decoy gene plot
     methods = {
@@ -154,8 +155,6 @@ def draw_network_gridplot_across_methods(
         "WeSME": "WeSME P-Val",
     }
 
-    num_samples = results_df.shape[0]
-
     fig, axes = plt.subplots(2, 3, figsize=(24, 16))
     fig.suptitle(f"Top 10 Ranked ME Pairs in {subtype}", fontsize=42, y=0.999)
     for idx, (method, col) in enumerate(methods.items()):