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| author | Alexander Kabui | 2021-04-16 02:37:25 +0300 |
|---|---|---|
| committer | Alexander Kabui | 2021-04-16 02:37:25 +0300 |
| commit | 6c14eccb7a10cc598d4fa7ee4036cb44bddd9627 (patch) | |
| tree | ea60c5a67453edfbf50e049d8874036fff037043 /gn3/api | |
| parent | f3f68f8eb92c7ec9c42bc20bc8e94c435cc745e2 (diff) | |
| download | genenetwork3-6c14eccb7a10cc598d4fa7ee4036cb44bddd9627.tar.gz | |
benchmark normal function for sample r
Diffstat (limited to 'gn3/api')
| -rw-r--r-- | gn3/api/correlation.py | 4 |
1 files changed, 0 insertions, 4 deletions
diff --git a/gn3/api/correlation.py b/gn3/api/correlation.py index 7be8e30..e7e89cf 100644 --- a/gn3/api/correlation.py +++ b/gn3/api/correlation.py @@ -16,8 +16,6 @@ correlation = Blueprint("correlation", __name__) def compute_sample_integration(corr_method="pearson"): """temporary api to help integrate genenetwork2 to genenetwork3 """ - # for debug - print("Calling this endpoint") correlation_input = request.get_json() target_samplelist = correlation_input.get("target_samplelist") @@ -76,8 +74,6 @@ def compute_lit_corr(species=None, gene_id=None): @correlation.route("/tissue_corr/<string:corr_method>", methods=["POST"]) def compute_tissue_corr(corr_method="pearson"): """Api endpoint fr doing tissue correlation""" - # for debug - print("The request has been received") tissue_input_data = request.get_json() primary_tissue_dict = tissue_input_data["primary_tissue"] target_tissues_dict = tissue_input_data["target_tissues_dict"] |