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I have a couple of questions about RELI. Firstly, I'm curious why LD is optional. Does this mean that RELI has a default LD file from 1000G? I tried running RELI without the -ld flag or leaving it empty, and none of the options works.
Secondly, in the paper's method section, it states that an observed intersection is recorded between each LD block and each dataset, and there would be a p-value for each dataset, right? However, doesn't the target label mean that we are only testing one specific dataset against null model? Would I need to use a for loop to iterate through each index?
Thank you for your time!
Best regards,
Sean
The text was updated successfully, but these errors were encountered:
Hi there,
I have a couple of questions about RELI. Firstly, I'm curious why LD is optional. Does this mean that RELI has a default LD file from 1000G? I tried running RELI without the -ld flag or leaving it empty, and none of the options works.
Secondly, in the paper's method section, it states that an observed intersection is recorded between each LD block and each dataset, and there would be a p-value for each dataset, right? However, doesn't the target label mean that we are only testing one specific dataset against null model? Would I need to use a for loop to iterate through each index?
Thank you for your time!
Best regards,
Sean
The text was updated successfully, but these errors were encountered: