My apologies On Thu, Jul 18, 2019 at 4:00 PM Bert Gunter <bgunter.4...@gmail.com> wrote:
> This query should almost certainly be posted on the Bioconductor Help site > rather than here. Especially so as it is a general question about a > genomics "workflow" rather than a question about R programming. > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along and > sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Thu, Jul 18, 2019 at 12:55 PM Spencer Brackett < > spbracket...@saintjosephhs.com> wrote: > >> Good evening, >> >> I am dealing with an already analyzed .RData file consisting of >> pre-configured data objects loaded into my environment. I am attempting to >> take this data, which shows an overall correlation of survival with >> methylation pattern for a form of brain cancer, and go to the individual >> probe sets and see if MGMT is one of the genes whose methylation show an >> association with survival. To do this I am under the impression that I >> have >> to visualize the probesets in order to view them/determine what gene or >> genes (unbiasedly) show an association between meth. and survival. I have >> been trying to run a few different methods such as microarray probe set >> mapping through Ensembl, but without avail. >> Would anyone perhaps know of a procedure/workflow that I could use to >> achieve this? >> >> Best, >> >> Spencer >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
