hope this question is in topic. I have expression values from a miRNA microarray and a gene expression microarray in the same cel line, some genes show opposite expression pattern with the miRNAs that supposedly regulate them (so that's good)...how can i evaluate the significance of that inverse correlation? there is any package that i could use to "evaluates" those things? thanks Seb

One (of many) possible solutions would be to summarize the expression of each set of miRNA target genes by their "RE-score". See these papers: http://genomebiology.com/2009/10/9/R90 http://www.biomedcentral.com/1471-2164/13/383 Then, once you have an RE-score and an expression level vector for each miRNA, use the cor.test() function in R to test the significance of the correlation. Paul. On Fri, Jan 4, 2013 at 3:17 AM, Seb <seba.bat at="" gmail.com=""> wrote: > hope this question is in topic. > > I have expression values from a miRNA microarray and a gene expression > microarray in the same cel line, some genes show opposite expression > pattern with the miRNAs that supposedly regulate them (so that's > good)...how can i evaluate the significance of that inverse > correlation? > there is any package that i could use to "evaluates" those things? > > thanks > > Seb > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor -- Dr. Paul Geeleher School of Mathematics, Statistics and Applied Mathematics National University of Ireland Galway Ireland -- www.bioinformaticstutorials.com