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author | Frederick Muriuki Muriithi | 2021-10-18 05:47:45 +0300 |
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committer | BonfaceKilz | 2021-10-19 16:33:32 +0300 |
commit | ef7226bc188adf5dfd20e6daea291a3f2b14c156 (patch) | |
tree | 433cb2aa2959362098fbc8f6912b878d6765c5bf /gn3/partial_correlations.py | |
parent | 546b37e77c11c5268aa9510b9756f2ed4d60241d (diff) | |
download | genenetwork3-ef7226bc188adf5dfd20e6daea291a3f2b14c156.tar.gz |
Migrate `export_informative` function
Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* gn3/partial_correlations.py: Implement a mostly, bug-compatible
`export_informative` function as part of migrating the partial correlations
feature over to GN3 from GN1
* tests/unit/test_partial_correlations.py: Implement tests to ensure the code
work in a similar manner as that one in GN1.
Diffstat (limited to 'gn3/partial_correlations.py')
-rw-r--r-- | gn3/partial_correlations.py | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/gn3/partial_correlations.py b/gn3/partial_correlations.py new file mode 100644 index 0000000..8c37886 --- /dev/null +++ b/gn3/partial_correlations.py @@ -0,0 +1,32 @@ +""" +This module deals with partial correlations. + +It is an attempt to migrate over the partial correlations feature from +GeneNetwork1. +""" + +from functools import reduce + +def export_informative(trait_data: dict, inc_var: bool = False) -> tuple: + """ + Export informative strain + + This is a migration of the `exportInformative` function in + web/webqtl/base/webqtlTrait.py module in GeneNetwork1. + + There is a chance that the original implementation has a bug, especially + dealing with the `inc_var` value. It the `inc_var` value is meant to control + the inclusion of the `variance` value, then the current implementation, and + that one in GN1 have a bug. + """ + def __exporter__(acc, data_item): + if not inc_var or data_item["variance"] is not None: + return ( + acc[0] + (data_item["sample_name"],), + acc[1] + (data_item["value"],), + acc[2] + (data_item["variance"],)) + return acc + return reduce( + __exporter__, + filter(lambda td: td["value"] is not None, trait_data["data"].values()), + (tuple(), tuple(), tuple())) |