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So I'm trying to run pySCENIC on the same dataset, however with a subset of genes compared to the whole genome. When I try to run it on the whole genome, I get an error in grnboost2, with the following message:
ValueError: Metadata mismatch found in from_delayed.
Expected partition of type pandas.core.frame.DataFrame but got NoneType
I've seen that other people have had a similar issue, and I've seen the recommendations about how to fix it. I have made sure that there are no duplicate genes, but that doesn't help. Nothing I've tried to so far helps in fixing the issue.
When I try running it on the subset of genes, grnboost2 seems to work. However, I then get an error when I run the prune2df step. It get sstuck at 0% for a long time until it eventually crashes, yielding the following error:
ValueError: The columns in the computed data do not match the columns in the provided metadata
Extra: []
Missing: []
I've tried looking into what causes it, but I cannot figure it out. Any suggestions for how to fix both issues?
The text was updated successfully, but these errors were encountered:
ghost
changed the title
ValueError in running prune2df
ValueError in running prune2df and grnboost2
Jan 13, 2020
Hi,
So I'm trying to run pySCENIC on the same dataset, however with a subset of genes compared to the whole genome. When I try to run it on the whole genome, I get an error in grnboost2, with the following message:
ValueError: Metadata mismatch found in
from_delayed
.Expected partition of type
pandas.core.frame.DataFrame
but gotNoneType
I've seen that other people have had a similar issue, and I've seen the recommendations about how to fix it. I have made sure that there are no duplicate genes, but that doesn't help. Nothing I've tried to so far helps in fixing the issue.
When I try running it on the subset of genes, grnboost2 seems to work. However, I then get an error when I run the prune2df step. It get sstuck at 0% for a long time until it eventually crashes, yielding the following error:
ValueError: The columns in the computed data do not match the columns in the provided metadata
Extra: []
Missing: []
I've tried looking into what causes it, but I cannot figure it out. Any suggestions for how to fix both issues?
The text was updated successfully, but these errors were encountered: