Suitability of normalizeBetweenArrays? - arrays with very different characteristics
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@gordon-smyth
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WEHI, Melbourne, Australia
Dear John, You do need to normalize between arrays if you want to do a single channel analysis. It is true that normalization is more difficult if there are very large differences between samples, but you have to do the best you can. I personally use Aquantile in most cases, based on unpublished studies in my own group. Best wishes Gordon >Date: Sun, 22 Apr 2007 03:07:55 +0000 (UTC) >From: John Fowler <fowlerj at="" science.oregonstate.edu=""> >Subject: [BioC] Suitability of normalizeBetweenArrays? - arrays with > very different characteristics >To: bioconductor at stat.math.ethz.ch > >Hello all, > >I am looking for advice on whether it is suitable to use >normalizeBetweenArrays >(in limma) in my two-color array experiment. Secondarily, if it is NOT >appropriate, would that also preclude doing a single channel analysis of my >data? It seems that the User's Guide indicates that some form of normalizing >between arrays is recommended before doing the single channel analysis. > >I have a 3x2 loop design, with three different developmental stages & two >different genotypes, four replicates each. I am using spotted long oligo >arrays, two colors. Because the two genotypes have very few expression >differences between them, but two of the developmental stages appear >to be VERY >different, the results on my arrays are also different. On arrays >in which the >same developmental stage, but different genotypes, are used, the data are >primarily clustered around M=0, distributed along the A axis. And, >as you would >expect, when the very different developmental stages of the same genotype are >used, the amount of variation in M (and presumably in A, as well, although >that's more difficult to see) is obvious in the plots. > >So, is it in-advisable to use normalizeBetweenArrays in this case? My best >guess as to the most appropriate method to use would be "Aquantile", but I am >unsure of that, as well. > >I would be happy for suggestions on these questions - > >thank you very much, >John > >John Fowler >Associate Professor >Oregon State University
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