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-rw-r--r--wqflask/wqflask/correlation/correlation_gn3_api.py10
-rw-r--r--wqflask/wqflask/views.py2
2 files changed, 6 insertions, 6 deletions
diff --git a/wqflask/wqflask/correlation/correlation_gn3_api.py b/wqflask/wqflask/correlation/correlation_gn3_api.py
index b56c09d8..4949bbe2 100644
--- a/wqflask/wqflask/correlation/correlation_gn3_api.py
+++ b/wqflask/wqflask/correlation/correlation_gn3_api.py
@@ -11,7 +11,7 @@ from base.trait import retrieve_sample_data
from gn3.computations.correlations import compute_all_sample_correlation
from gn3.computations.correlations import map_shared_keys_to_values
from gn3.computations.correlations import compute_all_lit_correlation
-from gn3.computations.correlations import experimental_compute_all_tissue_correlation
+from gn3.computations.correlations import compute_tissue_correlation
from gn3.db_utils import database_connector
@@ -76,7 +76,7 @@ def tissue_for_trait_lists(corr_results, this_dataset, this_trait):
trait_name, symbol) in traits_symbol_dict.items() if trait_lists.get(trait_name)})
primary_tissue_data, target_tissue_data = get_tissue_correlation_input(
this_trait, traits_symbol_dict)
- corr_results = experimental_compute_all_tissue_correlation(
+ corr_results = compute_tissue_correlation(
primary_tissue_dict=primary_tissue_data,
target_tissues_data=target_tissue_data,
corr_method="pearson")
@@ -93,7 +93,7 @@ def compute_correlation(start_vars, method="pearson"):
sample_data) = create_target_this_trait(start_vars)
method = start_vars['corr_sample_method']
- _corr_return_results = start_vars.get("corr_return_results", 100)
+ corr_return_results = int(start_vars.get("corr_return_results", 100))
corr_input_data = {}
if corr_type == "sample":
@@ -121,7 +121,7 @@ def compute_correlation(start_vars, method="pearson"):
"primary_tissue": primary_tissue_data,
"target_tissues_dict": target_tissue_data
}
- correlation_results = experimental_compute_all_tissue_correlation(
+ correlation_results = compute_tissue_correlation(
primary_tissue_dict=corr_input_data["primary_tissue"],
target_tissues_data=corr_input_data[
"target_tissues_dict"],
@@ -139,7 +139,7 @@ def compute_correlation(start_vars, method="pearson"):
conn=conn, trait_lists=list(geneid_dict.items()),
species=species, gene_id=this_trait_geneid)
- return correlation_results
+ return correlation_results[0:corr_return_results]
def do_lit_correlation(this_trait, this_dataset):
diff --git a/wqflask/wqflask/views.py b/wqflask/wqflask/views.py
index 3d4376e2..b042a211 100644
--- a/wqflask/wqflask/views.py
+++ b/wqflask/wqflask/views.py
@@ -885,7 +885,7 @@ def corr_compute_page():
initial_time = time.time()
correlation_results = compute_correlation(request.form)
print(">>>>Time taken by this endpoint",time.time()-initial_time)
- return render_template("test_correlation_page.html",correlation_results=correlation_results[0:50])
+ return render_template("test_correlation_page.html",correlation_results=correlation_results)
@app.route("/corr_matrix", methods=('POST',))
def corr_matrix_page():