We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hello,
Thank you for the package! Very useful and interesting!!
Here I have a question: I ran the following command:
methylGSA_go <- methylglm(cpg.pval = cpg.pval, array.type = "EPIC", FullAnnot = NULL, group = "all", GS.list = NULL, GS.idtype = "ENTREZID", GS.type = "GO", minsize = 1, maxsize = 500, parallel = FALSE, BPPARAM = bpparam())
And got: "glm.fit: algorithm did not converge"
Would you in this case advise not to use these results? Or suggest to change the setting...?
Thanks!
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hello,
Thank you for the package! Very useful and interesting!!
Here I have a question:
I ran the following command:
methylGSA_go <-
methylglm(cpg.pval = cpg.pval,
array.type = "EPIC",
FullAnnot = NULL,
group = "all",
GS.list = NULL,
GS.idtype = "ENTREZID",
GS.type = "GO",
minsize = 1,
maxsize = 500,
parallel = FALSE,
BPPARAM = bpparam())
And got: "glm.fit: algorithm did not converge"
Would you in this case advise not to use these results? Or suggest to change the setting...?
Thanks!
The text was updated successfully, but these errors were encountered: