add header and take2 in selecting columns

app.py

@@ -4,6 +4,24 @@ import numpy as np
 import pandas as pd
 import altair as alt
 
+st.markdown("""
+# CryptoCEN Top50 co-expressed partners
+
+**CryptoCEN** is a co-expression network for *Cryptococcus neoformans* built on 1,524 RNA-seq runs across 34 studies.
+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:
+MJ O'Meara, JR Rapala, CB Nichols, C Alexandre, B Billmyre, JL Steenwyk, A Alspaugh,
+TR O'Meara CryptoCEN: A Co-Expression Network for Cryptococcus neoformans reveals
+novel proteins involved in DNA damage repair
+* Code available at https://github.com/maomlab/CalCEN/tree/master/vignettes/CryptoCEN
+* Full network and dataset: https://huggingface.co/datasets/maomlab/CryptoCEN
+
+## Look up top-coexpressed partners:
+Put in the ``CNAG_#######`` gene_id for a gene and expand the table to get the top 50 co-expressed genes.
+``coexp_score`` ranges between ``[0-1]``, where ``1`` is the best and greater than ``0.85`` can be considered significant.
+""")
 
 top_coexp_hits = datasets.load_dataset(
     path = "maomlab/CryptoCEN",
@@ -17,10 +35,10 @@ gene_id = st.text_input(
     help = "CNAG Gene ID e.g. CNAG_04365")
 
 top_coexp_hits = top_coexp_hits[
-  top_coexp_hits.gene_id_1 == gene_id,
-  ['gene_id_1', 'gene_symbol_1', 'description_1',
-   'gene_id_2', 'gene_symbol_2', 'description_2',
-   'coexp_score', 'blastp_EValue']]
-
+    top_coexp_hits.gene_id_1 == gene_id,]
+top_coexp_hits = top_coexp_hits[[
+    'gene_id_1', 'gene_symbol_1', 'description_1',
+    'gene_id_2', 'gene_symbol_2', 'description_2',
+    'coexp_score', 'blastp_EValue']]
 
 st.table(top_coexp_hits)