import scanpy as sc
adata = sc.read_10x_h5("sample_filtered_feature_bc_matrix.h5", gex_only=False)
hdata = adata[:, adata.var.index.isin(["HTO_C0301", "HTO_C0302"])].copy()
from solo import hashsolo
hashsolo.hashsolo(hdata., number_of_noise_barcodes=1)
And it gives me this error:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/uqztuong/miniforge3/envs/dandelion/lib/python3.11/site-packages/solo/hashsolo.py", line 392, in hashsolo
posterior_dict = _calculate_bayes_rule(data, priors, number_of_noise_barcodes)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/uqztuong/miniforge3/envs/dandelion/lib/python3.11/site-packages/solo/hashsolo.py", line 238, in _calculate_bayes_rule
log_likelihoods_for_each_hypothesis, _, _ = _calculate_log_likelihoods(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/uqztuong/miniforge3/envs/dandelion/lib/python3.11/site-packages/solo/hashsolo.py", line 92, in _calculate_log_likelihoods
data = np.log(data + 1)
~~~~~^~~
File "/home/uqztuong/miniforge3/envs/dandelion/lib/python3.11/site-packages/scipy/sparse/_base.py", line 462, in __add__
raise NotImplementedError('adding a nonzero scalar to a '
NotImplementedError: adding a nonzero scalar to a sparse array is not supported
converting the .X to dense array manually worked. just want to flag this as others may encounter this issue.
Hi I'm trying to run the following:
And it gives me this error:
converting the
.X
to dense array manually worked. just want to flag this as others may encounter this issue.versions: scipy==1.11.3 solo-sc==1.3 scanpy==1.9.3 anndata==0.9.1 umap==0.5.4 numpy==1.24.4 scipy==1.11.3 pandas==2.1.0 scikit-learn==1.3.1 statsmodels==0.14.0 python-igraph==0.10.8 pynndescent==0.5.1