Update app.py

app.py

@@ -38,6 +38,14 @@ output = pd.Series(data=predictions, index=data.index, name="XGB_Score")
 df_total = pd.concat([data, output], axis=1)
 df_total['XGB_Score'] = round(df_total['XGB_Score'], 2)
 
+df_total = df_total[['XGB_Score', 'ExomiserScore',
+ 'SDI', 'Liver_GTExTPM',  'pLI_ExAC',
+ 'HIPred',
+ 'Cells - EBV-transformed lymphocytes_GTExTPM',
+ 'Pituitary_GTExTPM',
+ 'IPA_BP_annotation']]
+
+
 st.title('Blood Pressure Gene Prioritisation Post-GWAS')
 st.markdown("""
 A machine learning pipeline for predicting disease-causing genes post-genome-wide association study in blood pressure.