Comments (2)
Certainly! however without further information about your specific setup and data, it's challenging to pinpoint the exact cause of the problem.
The error message "0 edges were found" could indicate various issues, such as missing transcription factors, incorrect ranking databases, or species mismatches. To assist you better, could you provide more details about your environment, the data you're working with, and any relevant parameters you're using in your function calls? This additional information will help me offer more targeted assistance. Thanks!
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Thanks for your prompt reply! Actually I am working on the example you provided : https://github.com/oubounyt/SCANet/blob/main/docs/full-example.ipynb
I am using exactly the same parameters. I reduced only the number of workers to 40 instead of 60 and the number of processes to 6 instaed of 10 in line 261 in grn.py file. The human database was successfully downloaded in the databases folder. Thanks!
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Related Issues (8)
- Cannot download human dataset HOT 1
- Error when importing the package HOT 4
- Cannot visualize the drugs in a network HOT 4
- Request for Assistance: ImportError with 'joblib' in Scikit-learn HOT 2
- databases for GRN inference HOT 2
- An error for this code: cor = sn.co.modules_to_annotation_cor(adata_r, net, figsize=(12,6), cor_method="spearman") HOT 1
- An error about grn inference
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