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-rw-r--r--wqflask/wqflask/correlation/show_corr_results.py19
1 files changed, 11 insertions, 8 deletions
diff --git a/wqflask/wqflask/correlation/show_corr_results.py b/wqflask/wqflask/correlation/show_corr_results.py
index e710bacd..4c2b64ba 100644
--- a/wqflask/wqflask/correlation/show_corr_results.py
+++ b/wqflask/wqflask/correlation/show_corr_results.py
@@ -184,6 +184,8 @@ class CorrelationResults(object):
for _trait_counter, trait in enumerate(list(self.correlation_data.keys())[:self.return_number]):
trait_object = create_trait(dataset=self.target_dataset, name=trait, get_qtl_info=True, get_sample_info=False)
+ if not trait_object:
+ continue
if self.target_dataset.type == "ProbeSet" or self.target_dataset.type == "Geno":
#ZS: Convert trait chromosome to an int for the location range option
@@ -434,15 +436,15 @@ class CorrelationResults(object):
self.this_trait_vals, target_vals, num_overlap = corr_result_helpers.normalize_values(self.this_trait_vals, target_vals)
- #ZS: 2015 could add biweight correlation, see http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465711/
- if self.corr_method == 'bicor':
- sample_r, sample_p = do_bicor(self.this_trait_vals, target_vals)
- elif self.corr_method == 'pearson':
- sample_r, sample_p = scipy.stats.pearsonr(self.this_trait_vals, target_vals)
- else:
- sample_r, sample_p = scipy.stats.spearmanr(self.this_trait_vals, target_vals)
-
if num_overlap > 5:
+ #ZS: 2015 could add biweight correlation, see http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465711/
+ if self.corr_method == 'bicor':
+ sample_r, sample_p = do_bicor(self.this_trait_vals, target_vals)
+ elif self.corr_method == 'pearson':
+ sample_r, sample_p = scipy.stats.pearsonr(self.this_trait_vals, target_vals)
+ else:
+ sample_r, sample_p = scipy.stats.spearmanr(self.this_trait_vals, target_vals)
+
if numpy.isnan(sample_r):
pass
else:
@@ -635,3 +637,4 @@ def get_header_fields(data_type, corr_method):
'Sample p(r)']
return header_fields
+