update style

app.py

@@ -26,8 +26,10 @@ st.markdown("""
 A pair of genes are said to be co-expressed when their expression is correlated across different conditions and
 is often a marker for genes to be involved in similar processes. 
 To Cite:
-CS Arnold, Y Wang, VB Carruthers, MJ O'Meara
-ToxoCEN: A Co-Expression Network for Toxoplasma gondii
+
+    CS Arnold, Y Wang, VB Carruthers, MJ O'Meara
+    ToxoCEN: A Co-Expression Network for Toxoplasma gondii
+
 * Code available at https://github.com/maomlab/CalCEN/tree/master/vignettes/ToxoCEN
 * Full network and dataset: https://huggingface.co/datasets/maomlab/ToxoCEN
 ## Plot a network for a set of genes
@@ -104,6 +106,12 @@ node_info = pd.DataFrame({
 # note I think CytoscapeJS can layout graphs
 # but I'm unsure how to do it through the streamlit-cytoscapejs interface :(
 
+
+st.write(f"gene_id_1: {neighbors.gene_id_1.to_list()}")
+st.write(f"gene_id_2: {neighbors.gene_id_2.to_list()}")
+st.write(f"coexp_scores: {neighbors.coexp_scores.to_list()}")
+
+
 G = nx.Graph()
 G.add_weighted_edges_from(
     [neighbors.gene_id_1.to_list(), neighbors.gene_id_2.to_list(), neighbors.coexp_score.to_list()])
@@ -140,9 +148,14 @@ with col3:
 ##########################################################
 
 stylesheet = [
-    {"selector": "node", "style": {"width": 50, "height": 20, "shape": "rectangle"}},
-    {"selector": "edge", "style": {"width": 10}},
-    {"selector": "layout", "style": {"name": "random"}}
+    {"selector": "node", "style": {
+        "width": 200,
+        "height": 75,
+        "shape": "rectangle",
+        "labelFontSize": 100,
+        
+    }},
+    {"selector": "edge", "style": {"width": 10}}
 ]
 
 st.title("ToxoCEN Network")