zip data together

.gitattributes

@@ -35,3 +35,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 ALL_hum_isoforms_ESM1b_dels.zip filter=lfs diff=lfs merge=lfs -text
 del_sub_data.csv.gz filter=lfs diff=lfs merge=lfs -text
+rand_samp_gw_del_sub.csv.gz filter=lfs diff=lfs merge=lfs -text
+ALL_hum_isoforms_ESM1b_del_sub.zip filter=lfs diff=lfs merge=lfs -text

app.py

@@ -4,16 +4,18 @@ import numpy as np
 import time
 import plotly.graph_objects as go
 from scipy.ndimage import gaussian_filter1d
+from zipfile import ZipFile
 
 np.random.seed(2024)
 
 uids = pd.read_csv("uniprot_ids_isoforms.tsv.gz", names=["selection"], header=None, sep="\t")
-del_sub_merge = pd.read_csv("del_sub_data.csv.gz")
+# del_sub_merge = pd.read_csv("del_sub_data.csv.gz")
+zf = ZipFile("ALL_hum_isoforms_ESM1b_del_sub.zip")
 
 def plot_interactive_scatter(uid: str):
     
-    user_data = del_sub_merge[del_sub_merge.prot == uid]
-    
+    user_data = pd.read_csv(zf.open(f"{uid}.csv"))
+        
     # Create scatter plot for user-specified data
     user_trace = go.Scatter(
     x=-np.log10(user_data.aPLLR),
@@ -52,11 +54,9 @@ def plot_interactive_line(uid_data: pd.DataFrame, uid: str, score: str, mutation
                            
 selection = st.selectbox("", uids.selection, index=26592)
 selection_uid = selection.split(",")[0]
-                           
-show_line_plots = st.checkbox("Show Line Plots")
-    
+                               
 # Base dataset
-base_data = del_sub_merge.sample(frac=0.001)
+base_data = pd.read_csv("rand_samp_gw_del_sub.csv.gz")
 
 # Create base scatter plot
 base_trace = go.Scatter(
@@ -72,15 +72,8 @@ base_trace = go.Scatter(
 ut, ud = plot_interactive_scatter(selection_uid)
 
 lt_apllr = plot_interactive_line(ud, selection_uid, "aPLLR", "Deletion")
-# st.plotly_chart(lt_apllr)
 
 lt_llr = plot_interactive_line(ud, selection_uid, "avg_LLR", "Substitution")
-# st.plotly_chart(lt_llr)
-
-
-if show_line_plots:
-    st.plotly_chart(lt_apllr)
-    st.plotly_chart(lt_llr)
 
 # Combine traces
 fig = go.Figure([base_trace, ut])
@@ -149,6 +142,13 @@ st.download_button(
     mime='text/csv'
 )
 
+show_line_plots = st.checkbox("Show Sub and Del Effects Alone")
+
+if show_line_plots:
+    st.plotly_chart(lt_apllr)
+    st.plotly_chart(lt_llr)
+
+
 st.markdown("""
 **README**:
 - Deletion scores are *visualized* on the -log10 scale.