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RuntimeError: No coarse-grained stationary distribution found
... Hi there,
I am trying to compute the initial and terminal states of cells from time series experiments with the codes in the attached cellrank_check_script.txt.
It worked when I ran the script with a small subset of data but failed with the whole dataset with 1,222,515 cells.
When I run g.predict_initial_states(allow_overlap=False)
, it gave me the error information RuntimeError: No coarse-grained stationary distribution found.
I check the scripts step by step; g.coarse_stationary_distribution
is empty when I run with the whole dataset.
Could you please help me check this issue? Thanks in ahead.
The log file is below.
Computing Schur decomposition
Adding `adata.uns['eigendecomposition_fwd']`
`.schur_vectors`
`.schur_matrix`
`.eigendecomposition`
Finish (1:59:34)
Computing `15` macrostates
Adding `.macrostates`
`.macrostates_memberships`
`.coarse_T`
`.coarse_initial_distribution
`.coarse_stationary_distribution`
`.schur_vectors`
`.schur_matrix`
`.eigendecomposition`
Finish (4:33:05)
Writing `GPCCA[kernel=RealTimeKernel[n=1222515], initial_states=None, terminal_states=None]` to `test.initial_terminal_state.fate_probabilities.pickle`
Adding `adata.obs['term_states_fwd']`
`adata.obs['term_states_fwd_probs']`
`.terminal_states`
`.terminal_states_probabilities`
`.terminal_states_memberships
Finish`
Writing `GPCCA[kernel=RealTimeKernel[n=1222515], initial_states=None, terminal_states=['0_1', '0_2', '0_3', '14', '18_1', '18_2', '18_3', '19_1', '19_2', '5_1', '5_2', '5_3', '6_1', '6_2', '6_3']]` to `test.initial_terminal_state.fate_probabilities.pickle`
Traceback (most recent call last):
File "cellrank_macrostates.test.py", line 45, in <module>
g.predict_initial_states(allow_overlap=False)
File "~/miniconda3/envs/cellrank/lib/python3.11/site-packages/cellrank/estimators/terminal_states/_gpcca.py", line 368, in predict_initial_states
raise RuntimeError("No coarse-grained stationary distribution found.")
RuntimeError: No coarse-grained stationary distribution found.
The version of packages:
cellrank==2.0.0 scanpy==1.9.5 anndata==0.9.2 numpy==1.24.4 numba==0.57.1 scipy==1.11.2 pandas==1.5.3 pygpcca==1.0.4 scikit-learn==1.1.3 statsmodels==0.14.0 python-igraph==0.10.8 scvelo==0.3.0 pygam==0.8.0 matplotlib==3.6.3 seaborn==0.12.2