diff options
Diffstat (limited to 'gn3/api')
-rw-r--r-- | gn3/api/correlation.py | 14 |
1 files changed, 6 insertions, 8 deletions
diff --git a/gn3/api/correlation.py b/gn3/api/correlation.py index 1667302..6e70899 100644 --- a/gn3/api/correlation.py +++ b/gn3/api/correlation.py @@ -9,13 +9,13 @@ from flask import request from flask import current_app from gn3.settings import SQL_URI -from gn3.commands import run_async_cmd, compose_pcorrs_command from gn3.db_utils import database_connector +from gn3.commands import run_sample_corr_cmd from gn3.responses.pcorrs_responses import build_response +from gn3.commands import run_async_cmd, compose_pcorrs_command from gn3.computations.correlations import map_shared_keys_to_values from gn3.computations.correlations import compute_tissue_correlation from gn3.computations.correlations import compute_all_lit_correlation -from gn3.computations.correlations import compute_all_sample_correlation correlation = Blueprint("correlation", __name__) @@ -31,9 +31,8 @@ def compute_sample_integration(corr_method="pearson"): this_trait_data = correlation_input.get("trait_data") results = map_shared_keys_to_values(target_samplelist, target_data_values) - correlation_results = compute_all_sample_correlation(corr_method=corr_method, - this_trait=this_trait_data, - target_dataset=results) + correlation_results = run_sample_corr_cmd( + corr_method, this_trait_data, results) return jsonify(correlation_results) @@ -50,9 +49,8 @@ def compute_sample_r(corr_method="pearson"): this_trait_data = correlation_input.get("this_trait") target_dataset_data = correlation_input.get("target_dataset") - correlation_results = compute_all_sample_correlation(corr_method=corr_method, - this_trait=this_trait_data, - target_dataset=target_dataset_data) + correlation_results = run_sample_corr_cmd( + corr_method, this_trait_data, target_dataset_data) return jsonify({ "corr_results": correlation_results |