diff --git a/ddmc/figures/common.py b/ddmc/figures/common.py
index d03e4bca..254e442a 100644
--- a/ddmc/figures/common.py
+++ b/ddmc/figures/common.py
@@ -304,55 +304,3 @@ def plot_pca_on_cluster_centers(
         axes[1].annotate(
             txt, (loadings[0][j] + 0.001, loadings[1][j] + 0.001), fontsize=10
         )
-
-
-def ExportClusterFile(cluster, cptac=False, mcf7=False):
-    """Export cluster SVG file for NetPhorest and GO analysis."""
-    if cptac:
-        c = pd.read_csv(
-            "ddmc/data/cluster_members/CPTAC_DDMC_35CL_W100_MembersCluster"
-            + str(cluster)
-            + ".csv"
-        )
-    if mcf7:
-        c = pd.read_csv(
-            "ddmc/data/cluster_members/msresist/data/cluster_members/CPTAC_MF7_20CL_W5_MembersCluster"
-            + str(cluster)
-            + ".csv"
-        )
-    c["pos"] = [s.split(s[0])[1].split("-")[0] for s in c["Position"]]
-    c["res"] = [s[0] for s in c["Position"]]
-    c.insert(4, "Gene_Human", [s + "_HUMAN" for s in c["Gene"]])
-    c = c.drop(["Position"], axis=1)
-    drop_list = [
-        "NHSL2",
-        "MAGI3",
-        "SYNC",
-        "LMNB2",
-        "PLS3",
-        "PI4KA",
-        "SYNM",
-        "MAP2",
-        "MIA2",
-        "SPRY4",
-        "KSR1",
-        "RUFY2",
-        "MAP11",
-        "MGA",
-        "PRR12",
-        "PCLO",
-        "NCOR2",
-        "BNIP3",
-        "CENPF",
-        "OTUD4",
-        "RPA1",
-        "CLU",
-        "CDK18",
-        "CHD1L",
-        "DEF6",
-        "MAST4",
-        "SSR3",
-    ]
-    for gene in drop_list:
-        c = c[c["Gene"] != gene]
-    c.to_csv("Cluster_" + str(cluster) + ".csv")