diff options
Diffstat (limited to 'wqflask')
| -rw-r--r-- | wqflask/wqflask/correlation/show_corr_results.py | 16 |
1 files changed, 10 insertions, 6 deletions
diff --git a/wqflask/wqflask/correlation/show_corr_results.py b/wqflask/wqflask/correlation/show_corr_results.py index 7d3b9b9f..298a3559 100644 --- a/wqflask/wqflask/correlation/show_corr_results.py +++ b/wqflask/wqflask/correlation/show_corr_results.py @@ -71,7 +71,6 @@ class CorrelationResults(object): assert('corr_sample_method' in start_vars) assert('corr_samples_group' in start_vars) assert('corr_dataset' in start_vars) - #assert('min_expr' in start_vars) assert('corr_return_results' in start_vars) if 'loc_chr' in start_vars: assert('min_loc_mb' in start_vars) @@ -197,15 +196,15 @@ class CorrelationResults(object): if (float(self.correlation_data[trait][0]) >= self.p_range_lower and float(self.correlation_data[trait][0]) <= self.p_range_upper): - if self.target_dataset.type == "ProbeSet" or self.target_dataset.type == "Geno": - + if (self.target_dataset.type == "ProbeSet" or self.target_dataset.type == "Publish") and bool(trait_object.mean): if (self.min_expr != None) and (float(trait_object.mean) < self.min_expr): continue - elif range_chr_as_int != None and (chr_as_int != range_chr_as_int): + if self.target_dataset.type == "ProbeSet" or self.target_dataset.type == "Geno": + if range_chr_as_int != None and (chr_as_int != range_chr_as_int): continue - elif (self.min_location_mb != None) and (float(trait_object.mb) < float(self.min_location_mb)): + if (self.min_location_mb != None) and (float(trait_object.mb) < float(self.min_location_mb)): continue - elif (self.max_location_mb != None) and (float(trait_object.mb) > float(self.max_location_mb)): + if (self.max_location_mb != None) and (float(trait_object.mb) > float(self.max_location_mb)): continue (trait_object.sample_r, @@ -519,6 +518,7 @@ def generate_corr_json(corr_results, this_trait, dataset, target_dataset, for_ap elif target_dataset.type == "Publish": results_dict['abbreviation_display'] = "N/A" results_dict['description'] = "N/A" + results_dict['mean'] = "N/A" results_dict['authors_display'] = "N/A" results_dict['additive'] = "N/A" if for_api: @@ -532,6 +532,8 @@ def generate_corr_json(corr_results, this_trait, dataset, target_dataset, for_ap results_dict['abbreviation_display'] = trait.abbreviation if bool(trait.description_display): results_dict['description'] = trait.description_display + if bool(trait.mean): + results_dict['mean'] = f"{float(trait.mean):.3f}" if bool(trait.authors): authors_list = trait.authors.split(',') if len(authors_list) > 6: @@ -605,6 +607,7 @@ def get_header_fields(data_type, corr_method): 'Record', 'Abbreviation', 'Description', + 'Mean', 'Authors', 'Year', 'Sample rho', @@ -618,6 +621,7 @@ def get_header_fields(data_type, corr_method): 'Record', 'Abbreviation', 'Description', + 'Mean', 'Authors', 'Year', 'Sample r', |