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authorFrederick Muriuki Muriithi2021-10-29 08:00:27 +0300
committerFrederick Muriuki Muriithi2021-10-29 08:00:27 +0300
commit6bfc0e9e9bce5e2505588372ce55ba892db6bda0 (patch)
treeaa180439da417168217feb7d2c31e9487df408b2 /gn3/computations
parent1b5e448ccecdfa146942bbb3d5b22bbbccd492c9 (diff)
downloadgenenetwork3-6bfc0e9e9bce5e2505588372ce55ba892db6bda0.tar.gz
Complete `build_temporary_tissue_correlations_table`
Issue: https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi * gn3/computations/partial_correlations.py: Remove comments after updating usage of the function at call point * gn3/db/correlations.py: Complete the implementation of the `build_temporary_tissue_correlations_table` function
Diffstat (limited to 'gn3/computations')
-rw-r--r--gn3/computations/partial_correlations.py13
1 files changed, 0 insertions, 13 deletions
diff --git a/gn3/computations/partial_correlations.py b/gn3/computations/partial_correlations.py
index d095185..5777a0b 100644
--- a/gn3/computations/partial_correlations.py
+++ b/gn3/computations/partial_correlations.py
@@ -173,19 +173,6 @@ def correlations_of_all_tissue_traits(
`web.webqtl.correlation.correlationFunction.calculateCorrOfAllTissueTrait`
function in GeneNetwork1.
"""
- # The section below existed in the original function, but with the migration
- # and the proposed rework (in the near future), the values from the database
- # should be passed into this function, rather than have the function fetch
- # the data for itself.
- # ---------------------------------------------------
- # primary_trait_symbol_value_dict = fetch_gene_symbol_tissue_value_dict_for_trait(
- # (trait_symbol,), probeset_freeze_id, conn)
- # primary_trait_values = primary_trait_symbol_value_dict.vlaues()[0]
- # symbol_value_dict = fetch_gene_symbol_tissue_value_dict_for_trait(
- # tuple(), probeset_freeze_id, conn)
- # ---------------------------------------------------
- # We might end up actually getting rid of this function all together as the
- # rework is done.
primary_trait_values = primary_trait_symbol_value_dict.values()[0]
return batch_computed_tissue_correlation(
primary_trait_values, symbol_value_dict, method)