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authorBonfaceKilz2021-02-03 17:40:06 +0300
committerBonfaceKilz2021-02-05 08:31:38 +0300
commit56016aaec031149b2525e01429372619aaf4095d (patch)
treef4c02f23f4548a17d38e2ba1c86080ecd08b9bfb
parent92760af93f4eaeae1852be31e38e11693698e3f2 (diff)
downloadgenenetwork2-56016aaec031149b2525e01429372619aaf4095d.tar.gz
Remove commented out code and unused variables
-rw-r--r--wqflask/wqflask/marker_regression/gemma_mapping.py6
1 files changed, 0 insertions, 6 deletions
diff --git a/wqflask/wqflask/marker_regression/gemma_mapping.py b/wqflask/wqflask/marker_regression/gemma_mapping.py
index c4bcef8b..7a3d0312 100644
--- a/wqflask/wqflask/marker_regression/gemma_mapping.py
+++ b/wqflask/wqflask/marker_regression/gemma_mapping.py
@@ -148,8 +148,6 @@ def gen_covariates_file(this_dataset, covariates, samples):
         trait_ob = create_trait(dataset=dataset_ob,
                                 name=trait_name,
                                 cellid=None)
-
-        #trait_samples = this_dataset.group.all_samples_ordered()
         this_dataset.group.get_samplelist()
         trait_samples = this_dataset.group.samplelist
         trait_sample_data = trait_ob.data
@@ -184,10 +182,8 @@ def parse_loco_output(this_dataset, gwa_output_filename, loco="True"):
     marker_obs = []
     previous_chr = 0
 
-    no_results = False
     for this_file in output_filelist:
         if not os.path.isfile(this_file):
-            no_results = True
             break
         with open(this_file) as output_file:
             for line in output_file:
@@ -212,10 +208,8 @@ def parse_loco_output(this_dataset, gwa_output_filename, loco="True"):
                     marker['additive'] = float(line.split("\t")[7])
                     if math.isnan(marker['p_value']) or (marker['p_value'] <= 0):
                         marker['lod_score'] = 0
-                        #marker['lrs_value'] = 0
                     else:
                         marker['lod_score'] = -math.log10(marker['p_value'])
-                        #marker['lrs_value'] = -math.log10(marker['p_value']) * 4.61
                     marker_obs.append(marker)
 
                     included_markers.append(line.split("\t")[1])