Wrong list. Post on the Bioconductor list.
-- Bert On Jan 11, 2017 5:15 PM, "Elham - via R-help" <r-help@r-project.org> wrote: hello all, I have 9 experiments (human RNAseq data (control/treatment)),I did RNAseq analysis by CLC genomics,after normalization I calculated correlation, I have many pairs of coding and lncoding molecules that correlate according to their expression,I filtered them (> 0.9 and < -0.9). Additionally, I've considered the pairs that have p-values < 0.001,but they are many pairs yet. now for more filtering I want to consider the pairs of coding-non coding, which are both deferentially expressed. how can I have DE for all treated vs all controls samples for coding and DE for all treated vs all controls samples for noncoding? I should say that each experiment is effect of one drug on one cancer (drugs and cancers are different in each experiment ) but the platform is similar and all of them are Illumina HiSeq 2000 (Homo sapiens) [[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.