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| author | zsloan | 2022-11-28 22:04:09 +0000 |
|---|---|---|
| committer | zsloan | 2022-11-28 22:07:59 +0000 |
| commit | aa671932cd48410269868a80424484c13058a57e (patch) | |
| tree | 91e6d193125daa96a06f9b8e8e1d92b3173e4e07 /wqflask | |
| parent | 83d11d341d6d33c9fae361fd6c60549a678bb4cc (diff) | |
| download | genenetwork2-aa671932cd48410269868a80424484c13058a57e.tar.gz | |
Fix bugs in show_corr_results.py
Diffstat (limited to 'wqflask')
| -rw-r--r-- | wqflask/wqflask/correlation/show_corr_results.py | 9 |
1 files changed, 5 insertions, 4 deletions
diff --git a/wqflask/wqflask/correlation/show_corr_results.py b/wqflask/wqflask/correlation/show_corr_results.py index c24043cc..63be1d3f 100644 --- a/wqflask/wqflask/correlation/show_corr_results.py +++ b/wqflask/wqflask/correlation/show_corr_results.py @@ -79,8 +79,7 @@ def apply_filters(trait, target_trait, target_dataset, **filters): def __location_filter__(location_type, location_chr, min_location_mb, max_location_mb): - if target_dataset["type"] in ["ProbeSet", "'Geno"] and location_type == "gene": - + if target_dataset["type"] in ["ProbeSet", "Geno"] and location_type == "gene": return ( ((location_chr!=None) and (target_trait["chr"]!=location_chr)) or @@ -233,7 +232,7 @@ def populate_table(dataset_metadata, target_dataset, this_dataset, corr_results, results_dict['pubmed_text'] = target_trait["pubmed_text"] if target_trait["abbreviation"]: - results_dict = target_trait['abbreviation'] + results_dict['abbreviation'] = target_trait['abbreviation'] if target_trait["description"] == target_trait['description']: results_dict['description'] = target_trait['description'] @@ -241,6 +240,8 @@ def populate_table(dataset_metadata, target_dataset, this_dataset, corr_results, if target_trait["mean"]: results_dict['mean'] = f"{float(target_trait['mean']):.3f}" + results_dict['lrs_location'] = target_trait['lrs_location'] + if target_trait["authors"]: authors_list = target_trait['authors'].split(',') results_dict['authors_display'] = ", ".join( @@ -254,7 +255,7 @@ def populate_table(dataset_metadata, target_dataset, this_dataset, corr_results, except ValueError: results_dict['lod_score'] = "N/A" else: - results_dict['lrs_location'] = target_trait['lrs_location'] + results_dict['location'] = target_trait['location'] return results_dict |