SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.
I am currently using the SCENIC+ pipeline, and I've encountered an issue where several expected outputs are missing from the results. Specifically, the following outputs are not being generated:
AUCell_direct: 0
AUCell_extended: 0
eGRN_extended: 0
scplus_mudata: 0
Expected Behavior: I expect the pipeline to generate these outputs as part of its normal operation.
Current Behavior: The pipeline runs successfully and returns a limited number of outputs, with no error messages in the log file. The job count indicates only one for AUCell_direct, AUCell_extended, eGRN_extended, and scplus_mudata, which is not the expected outcome.
Environment:
SCENIC+ version: 1.0a1
Python version: 3.11
Edit: going through some other older issues makes it a memory issue. So I checked how much was being allotted and used up. If this is a memory issue then:
I had asked for vmem of 250, it requested for 170GiB more so I upped vmem to 500G still the same error. The cores were reduced to 5-10. Didn’t help either. The imputed obj generated in the pycistopic pipeline was around 184GiB and still all of it ran smoothly as job but not sure about AUcell.
I am currently using the SCENIC+ pipeline, and I've encountered an issue where several expected outputs are missing from the results. Specifically, the following outputs are not being generated: AUCell_direct: 0 AUCell_extended: 0 eGRN_extended: 0 scplus_mudata: 0
Expected Behavior: I expect the pipeline to generate these outputs as part of its normal operation. Current Behavior: The pipeline runs successfully and returns a limited number of outputs, with no error messages in the log file. The job count indicates only one for AUCell_direct, AUCell_extended, eGRN_extended, and scplus_mudata, which is not the expected outcome. Environment: SCENIC+ version: 1.0a1 Python version: 3.11
Edit: going through some other older issues makes it a memory issue. So I checked how much was being allotted and used up. If this is a memory issue then: I had asked for vmem of 250, it requested for 170GiB more so I upped vmem to 500G still the same error. The cores were reduced to 5-10. Didn’t help either. The imputed obj generated in the pycistopic pipeline was around 184GiB and still all of it ran smoothly as job but not sure about AUcell.
Any idea/suggestions how to go about this?