Hi, Maybe another way is to use the detection call if it is available in the array. Cheers, Wei Francois Pepin wrote: > Hi Marco, > > I have done something in the past at that particular cut-off. > > I would suggest to take a look at your distribution of intensities to > make sure that 6 is a reasonable threshold. I tend to have bimodal > distributions with a sharp peak just below 6 and another later on, but > your data might be different. > > Another strategy is to use the Limma F statistics, if you want to also > include genes which might be more highly expressed but also don't have > any variations. > > Hope this helps, > > Francois > > On Feb 18, 2010, at 1:45 AM, Marco Fabbri wrote: > >> HI all, >> I remeber that when I worked with affy chip , removing those genes >> that appear not to >> be expressed in either sample, value smaller than 6. >> I was wondering if I can apply a similar filter to Agilent 4 x 44 gene >> expression arrays. >> >> THank you >> >> MArco >> >> _______________________________________________ >> Bioconductor mailing list >> Bioconductor at 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 at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor ______________________________________________________________________ The information in this email is confidential and intend...{{dropped:4}}