On Fri, Sep 24, 2010 at 11:21 AM, Kevin R. Coombes < kevin.r.coombes@gmail.com> wrote: > Correlation is not the same as "concordance correlation". > > Good point. > > Correlation measures where two data vectors follow some sort of straight > line. > > Concordance measures whether they follow the identity line. > > > On 9/23/2010 11:50 AM, Sean Davis wrote: > >> On Thu, Sep 23, 2010 at 12:44 PM, ANJAN PURKAYASTHA< >> anjan.purkayastha@gmail.com> wrote: >> >> > From reading the literature it seems that calculating the concordance >>> correlation coefficient between two normalized arrays is a good measure >>> of >>> success of the normalization procedure. Is there a Bioconductor package >>> that >>> calculates this? >>> >>> Hi, Anjan. The R cor() function can be used to calculate correlation. >> >> >> Secondly, is there a bioconductor function that identifies outlier spot >>> intensities among replicate arrays? >>> >>> This is a little vague. However, there are numerous packages for >> quality >> assessment of microarrays. You might try looking at some of those to see >> if >> they meet your needs for your experimental setup. >> >> Sean >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> Bioconductor mailing list >> Bioconductor@stat.math.ethz.ch >> https://stat.ethz.ch/mailman/listinfo/bioconductor >> Search the archives: >> http://news.gmane.org/gmane.science.biology.informatics.conductor >> > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > [[alternative HTML version deleted]]