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author | Lei Yan | 2013-10-08 17:50:08 -0500 |
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committer | Lei Yan | 2013-10-08 17:50:08 -0500 |
commit | 9173f1e03f51cb141b0efa35b5e81c632b9a2689 (patch) | |
tree | 0655276dbfce12857462dfe0e392951d6b8de23b /wqflask/base | |
parent | 58327f74caa0616b1f6401a1154c03e87ae5e7bf (diff) | |
download | genenetwork2-9173f1e03f51cb141b0efa35b5e81c632b9a2689.tar.gz |
Literature correlation works when it is selected as the sorted
correlation type (that is, when it is run again all traits in a
database)
Added a function to data_set.py that gets all the gene_ids in the
data set. Not sure if having a separate function for getting
the gene_ids and another for getting the gene symbols makes sense.
Diffstat (limited to 'wqflask/base')
-rwxr-xr-x | wqflask/base/data_set.py | 15 |
1 files changed, 14 insertions, 1 deletions
diff --git a/wqflask/base/data_set.py b/wqflask/base/data_set.py index 5d21c901..16f9da5d 100755 --- a/wqflask/base/data_set.py +++ b/wqflask/base/data_set.py @@ -1078,7 +1078,20 @@ class MrnaAssayDataSet(DataSet): def retrieve_gene_symbols(self): query = """ - select ProbeSet.Name, ProbeSet.Symbol + select ProbeSet.Name, ProbeSet.Symbol, ProbeSet.GeneId + from ProbeSet,ProbeSetXRef + where ProbeSetXRef.ProbeSetFreezeId = %s and + ProbeSetXRef.ProbeSetId=ProbeSet.Id; + """ % (self.id) + results = g.db.execute(query).fetchall() + symbol_dict = {} + for item in results: + symbol_dict[item[0]] = item[1] + return symbol_dict + + def retrieve_gene_ids(self): + query = """ + select ProbeSet.Name, ProbeSet.GeneId from ProbeSet,ProbeSetXRef where ProbeSetXRef.ProbeSetFreezeId = %s and ProbeSetXRef.ProbeSetId=ProbeSet.Id; |