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author | Frederick Muriuki Muriithi | 2021-10-29 06:59:57 +0300 |
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committer | Frederick Muriuki Muriithi | 2021-10-29 06:59:57 +0300 |
commit | 3609a2d734bfc259ad29b865a9cb45d57124670a (patch) | |
tree | c80f3527f8b88b552d100ea3c37beb009313f5cc | |
parent | 7681d1f54b6de2f2e44088e192a51582f34dc669 (diff) | |
download | genenetwork3-3609a2d734bfc259ad29b865a9cb45d57124670a.tar.gz |
Move `correlations_of_all_tissue_traits`
Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* gn3/computations/partial_correlations.py: new
function (`correlations_of_all_tissue_traits`).
* gn3/db/correlations.py: delete
function (`correlations_of_all_tissue_traits`).
Move the function to `gn3.computations.partial_correlations` module and
comment out the db-access code.
Rework it to receive, as arguments, the data it previously fetched from the
database, and add comments on future rework to get the function working
again.
-rw-r--r-- | gn3/computations/partial_correlations.py | 27 | ||||
-rw-r--r-- | gn3/db/correlations.py | 20 |
2 files changed, 27 insertions, 20 deletions
diff --git a/gn3/computations/partial_correlations.py b/gn3/computations/partial_correlations.py index e73edfd..4ba2ba4 100644 --- a/gn3/computations/partial_correlations.py +++ b/gn3/computations/partial_correlations.py @@ -157,3 +157,30 @@ def batch_computed_tissue_correlation( `web.webqtl.correlation.correlationFunction.batchCalTissueCorr`""" raise Exception("Not implemented!") return ({}, {}) + +def correlations_of_all_tissue_traits( + primary_trait_symbol_value_dict: dict, symbol_value_dict: dict, + method: str) -> Tuple[dict, dict]: + """ + Computes and returns the correlation of all tissue traits. + + This is a migration of the + `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) diff --git a/gn3/db/correlations.py b/gn3/db/correlations.py index f43b8a5..39ed499 100644 --- a/gn3/db/correlations.py +++ b/gn3/db/correlations.py @@ -281,26 +281,6 @@ def fetch_gene_symbol_tissue_value_dict_for_trait( return fetch_gene_symbol_tissue_value_dict(xref_info[0], xref_info[2], conn) return {} -def correlations_of_all_tissue_traits( - trait_symbol: str, probeset_freeze_id: int, - method: str, conn: Any) -> Tuple[dict, dict]: - """ - Computes and returns the correlation of all tissue traits. - - This is a migration of the - `web.webqtl.correlation.correlationFunction.calculateCorrOfAllTissueTrait` - function in GeneNetwork1. - """ - primary_trait_symbol_value_dict = fetch_gene_symbol_tissue_value_dict_for_trait( - (trait_symbol,), probeset_freeze_id, conn) - primary_trait_value = primary_trait_symbol_value_dict.vlaues()[0] - symbol_value_dict = fetch_gene_symbol_tissue_value_dict_for_trait( - tuple(), probeset_freeze_id, conn) - if method == "1": - return batch_computed_tissue_correlation( - primaryTraitValue,SymbolValueDict,method='spearman') - return batch_computed_tissue_correlation(primaryTraitValue,SymbolValueDict) - def build_temporary_tissue_correlations_table( trait_symbol: str, probeset_freeze_id: int, method: str, return_number: int, conn: Any) -> str: |