Leiden clustering returns different results for Scanpy 1.10.4
and 1.9.3
#3422
Open
Description
Please make sure these conditions are met
- I have checked that this issue has not already been reported.
- I have confirmed this bug exists on the latest version of scanpy.
- (optional) I have confirmed this bug exists on the main branch of scanpy.
What happened?
I am doing some data analysis that depends on Scanpy, and for reproducibility reasons it is important that the results from Scanpy's implementation of Leiden clustering are consistent.
It seems that the changes to the sc.tl.leiden
implementation in v1.10
change the clustering results, although they are not supposed to (there is a warning that the defaults will change in the future, but that they have not yet).
Can this be patched?
Minimal code sample
import numpy as np
import anndata as ad
import scanpy as sc
print(sc.__version__)
def cluster(dataset, use_rep, random_state: int = 0, resolution: float = 1.0, n_neighbors: int = 20, method="leiden", **kwargs):
"""Test clustering."""
clustering_function = getattr(sc.tl, method)
sc.pp.neighbors(dataset, use_rep=use_rep, random_state=random_state, n_neighbors=n_neighbors)
clustering_function(dataset, resolution=resolution, random_state=random_state, key_added=method, **kwargs)
normalized_X = np.array([[-0.0153584372512808719352106479050235066097229719161987304687500000,
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)
random_subset = ad.AnnData(
X=np.zeros_like(normalized_X),
obsm={
"normalized_X": normalized_X,
}
)
cluster(random_subset, use_rep="normalized_X")
Error output
Versions