add expression to the chart data to have it make sense in the downloaded output

app.py

@@ -87,8 +87,12 @@ except:
     st.error(f"Unable to locate cnag_id for Gene ID 2: {gene_id_2}, it should be of the form 'CNAG_######'")
 
 chart_data = pd.DataFrame({
-    "expression_1": np.log10(estimated_expression.loc[h99_transcript_annotations["gene_id"] == gene_id_1].to_numpy()[0] + 1),
-    "expression_2": np.log10(estimated_expression.loc[h99_transcript_annotations["gene_id"] == gene_id_2].to_numpy()[0] + 1),
+    "gene_id_1": gene_id_1,
+    "gene_id_2": gene_id_2,
+    "expression_1": estimated_expression.loc[h99_transcript_annotations["gene_id"] == gene_id_1].to_numpy()[0],
+    "expression_2": estimated_expression.loc[h99_transcript_annotations["gene_id"] == gene_id_2].to_numpy()[0]
+    "log_expression_1": np.log10(estimated_expression.loc[h99_transcript_annotations["gene_id"] == gene_id_1].to_numpy()[0] + 1),
+    "log_expression_2": np.log10(estimated_expression.loc[h99_transcript_annotations["gene_id"] == gene_id_2].to_numpy()[0] + 1),
     "run_accession": estimated_expression.columns})
 chart_data = chart_data.merge(
     right = estimated_expression_meta,
@@ -122,8 +126,8 @@ chart = (
        height = 750)
    .mark_circle()
    .encode(
-       x=alt.X("expression_1", title=f"{gene_id_1} Expression"),
-       y=alt.Y("expression_2", title=f"{gene_id_2} Expression"),
+       x=alt.X("log_expression_1", title=f"Log10[{gene_id_1}+1] Expression"),
+       y=alt.Y("log_expression_2", title=f"Log10[{gene_id_2}+1] Expression"),
        color=alt.Color("study_accession", title="Study Accession"),
        tooltip=["run_accession", "study_accession"]))