getting only zeros at enrichment step

[archanabhardwaj]

Describe the bug
Hello
I am working with 10X visum spatial transcriptome data.
From cell2location, estimated cell-type specific expression of every gene in the spatial data and did the clustering. Now, I am running NCEM for cell-types integration (or cluster specific interaction). At enrichment step, I am getting zero values for every cluster. Here is result for cluster 1.

adata_img, adata_vis, log_pval, fold_change = ncem.data.compute_cluster_enrichment(
image_key=['Sample_A1'],
target_cell_type='1',
clip_pvalues=-5,
n_neighbors=100,
n_pcs=None,
)

I am getting values as given below:
Ouptut:
1 substates 1 0 1 1 1 2
new_index
0 0.0 0.0 0.0
1 0.0 0.0 0.0
10 0.0 0.0 0.0
11 0.0 0.0 0.0
2 0.0 0.0 0.0
3 0.0 0.0 0.0
4 0.0 0.0 0.0
5 0.0 0.0 0.0
6 0.0 0.0 0.0
7 0.0 0.0 0.0
8 0.0 0.0 0.0
9 0.0 0.0 0.0

Please let me know if I am doing something wrong.

To Reproduce

Steps to reproduce the behavior:

1. ...
2. ...
3. ...

Expected behavior

System [please complete the following information]:

• OS: e.g. [Ubuntu 18.04]
• Language Version: [e.g. Python 3.8]
• Virtual environment: [e.g. Conda]

Additional context

[archanabhardwaj]

By changing the radius parameter, problem solved