show_top_hits for gene

app.py

@@ -1,37 +1,21 @@
+import datasets
 import streamlit as st
 import numpy as np
 import pandas as pd
 import altair as alt
 
 
-gene_id_1 = st.text_input(
-    label = "Gene 1",
-    value = "CNAG0000001",
-    max_chars = 20,
-    help = "CNAG Gene ID e.g. CNAG0000001")
-
-gene_id_2 = st.text_input(
-    label = "Gene 2",
-    value = "CNAG0000002",
-    max_chars = 20,
-    help = "CNAG Gene ID e.g. CNAG0000002")
+top_coexp_hits = datasets.load_dataset(
+    path = "maomlab/CryptoCEN",
+    data_files = "top_coex_hits.tsv").to_pandas()
 
+gene_id = st.text_input(
+    label = "Gene 1",
+    value = "CNAG_04365-t26_1",
+    max_chars = 16,
+    help = "CNAG Gene ID e.g. CNAG_04365-t26_1")
 
-chart_data = pd.DataFrame(
-    np.random.randn(20, 3),
-    columns=["a", "b", "c"])
+top_coexp_hits = top_coexp_hits[top_coexp_hits.cnag_id_1 == gene_id]
 
-chart = (
-   alt.Chart(chart_data)
-   .mark_circle()
-   .encode(
-       x="a",
-       y="b",
-       size="c",
-       color="c",
-       tooltip=["a", "b", "c"])
-)
 
-st.altair_chart(
-    chart,
-    use_container_width=True)
+st.table(top_coexp_hits)