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-rw-r--r--gn3/computations/partial_correlations.py2
-rw-r--r--gn3/db/datasets.py11
2 files changed, 8 insertions, 5 deletions
diff --git a/gn3/computations/partial_correlations.py b/gn3/computations/partial_correlations.py
index ced44a4..719c605 100644
--- a/gn3/computations/partial_correlations.py
+++ b/gn3/computations/partial_correlations.py
@@ -309,7 +309,7 @@ def compute_partial(
primary,
tuple(targ for targ in targ_vals if targ is not None),
tuple(cont for i, cont in enumerate(control_vals)
- if target[i] is not None))
+ if target[0][i] is not None))
covariates = "z" if datafrm.shape[1] == 3 else [
col for col in datafrm.columns if col not in ("x", "y")]
ppc = pingouin.partial_corr(
diff --git a/gn3/db/datasets.py b/gn3/db/datasets.py
index e4c779a..c50e148 100644
--- a/gn3/db/datasets.py
+++ b/gn3/db/datasets.py
@@ -26,10 +26,13 @@ def retrieve_probeset_trait_dataset_name(
"threshold": threshold,
"name": name
})
- return dict(zip(
- ["dataset_id", "dataset_name", "dataset_fullname",
- "dataset_shortname", "dataset_datascale"],
- cursor.fetchone()))
+ res = cursor.fetchone()
+ if res:
+ return dict(zip(
+ ["dataset_id", "dataset_name", "dataset_fullname",
+ "dataset_shortname", "dataset_datascale"],
+ res))
+ return {"dataset_id": None, "dataset_name": name, "dataset_fullname": name}
def retrieve_publish_trait_dataset_name(
threshold: int, name: str, connection: Any):