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It is a set of around 10 000 genes so I am running the job in parallel.
I do this by splitting the original table big_infile:
D3ESplitData.py big_infile Group1 Group2 ./ 300 1
This will create a few smaller tables which are prefixed Group1_Group2_.
For each of them I run the sequence described above.
Then I merge the resulting outfiles with:
D3EMergeOutput.py ./ final.out Group1 Group2
The text was updated successfully, but these errors were encountered:
I have a problem concerning p values in the output table of D3E.
A lot of them are NaN (around 80%).
I run the analysis in this sequence:
I have tried it with
t 0
andt 3
.It is a set of around 10 000 genes so I am running the job in parallel.
I do this by splitting the original table
big_infile
:This will create a few smaller tables which are prefixed
Group1_Group2_
.For each of them I run the sequence described above.
Then I merge the resulting outfiles with:
The text was updated successfully, but these errors were encountered: