You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I noticed that I was getting errors when using the ROSMAP-derived LD matrix on the Bellenguez summary statistics. Whenever I would run it I would get the following error
The estimated prior variance is unreasonably large. This is usually caused by mismatch between the summary statistics and the LD matrix. Please check the input.
In order to get around this I had to edit the Jupyter Notebook and manually change the check_prior parameter of the susie_rss function to F to get around this. I think that it would be useful to add a new parameter --check-prior to the susie_rss fine-mapping pipeline to deal with situations like this
The text was updated successfully, but these errors were encountered:
I noticed that I was getting errors when using the ROSMAP-derived LD matrix on the Bellenguez summary statistics. Whenever I would run it I would get the following error
The estimated prior variance is unreasonably large. This is usually caused by mismatch between the summary statistics and the LD matrix. Please check the input.
In order to get around this I had to edit the Jupyter Notebook and manually change the
check_prior
parameter of thesusie_rss
function toF
to get around this. I think that it would be useful to add a new parameter--check-prior
to the susie_rss fine-mapping pipeline to deal with situations like thisThe text was updated successfully, but these errors were encountered: