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-rw-r--r--wqflask/wqflask/correlation/show_corr_results.py16
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',