1 Dec 2004 11:25
RE: normalisation or analysis with batch effects
Hello, the 11 tumour sampel are considered as biological replicates, or are these split into different tumour classes? We've had a similar problem. Our data was generated in three different laboratories, each having slightly different protocols, but within each lab we had the same factors (the same doses of a drug). I guess, if the tumours are considered as replicates one could include the batch as a factor (as you suggest below), but if they contain different tumour classes one could not separate the dmso effect from the "tomour" class effect. The tissues samples (normal and tumour) are probably from different subjects and will show strong differences per se. Maybe one get some estimates for the impact of the batch by using a mixed effects model with each sample as random effect and the batch as fixed effect. something like lme(response ~ batch, data=d, rand = ~ 1|sample) I'm not sure about this, it's just an idea ... Anyway, I'd pre-process (normalize) all samples together, otherwise there'll certainly be a batch effect. kind regards, Arne > -----Original Message----- > From: bioconductor-bounces@... > [mailto:bioconductor-bounces@...]On Behalf Of > Adaikalavan > Ramasamy(Continue reading)
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