diff options
-rw-r--r-- | wqflask/wqflask/correlation/correlation_functions.py | 28 |
1 files changed, 0 insertions, 28 deletions
diff --git a/wqflask/wqflask/correlation/correlation_functions.py b/wqflask/wqflask/correlation/correlation_functions.py index b883e361..fd7691d4 100644 --- a/wqflask/wqflask/correlation/correlation_functions.py +++ b/wqflask/wqflask/correlation/correlation_functions.py @@ -71,34 +71,6 @@ def cal_zero_order_corr_for_tiss (primaryValue=[], targetValue=[], method='pears return corr_result -########################################################################### -#Input: cursor, symbolList (list), dataIdDict(Dict) -#output: symbolValuepairDict (dictionary):one dictionary of Symbol and Value Pair, -# key is symbol, value is one list of expression values of one probeSet; -#function: get one dictionary whose key is gene symbol and value is tissue expression data (list type). -#Attention! All keys are lower case! -########################################################################### -def get_symbol_value_pairs(tissue_data): - id_list = [tissue_data[symbol.lower()].data_id for item in tissue_data] - - symbol_value_pairs = {} - value_list=[] - - query = """SELECT value, id - FROM TissueProbeSetData - WHERE Id IN {}""".format(create_in_clause(id_list)) - - try : - results = g.db.execute(query).fetchall() - for result in results: - value_list.append(result.value) - symbol_value_pairs[symbol] = value_list - except: - symbol_value_pairs[symbol] = None - - return symbol_value_pairs - - ######################################################################################################## #input: cursor, symbolList (list), dataIdDict(Dict): key is symbol #output: SymbolValuePairDict(dictionary):one dictionary of Symbol and Value Pair. |