Hello Bioconductoriens I begin my studies of analysis of microarray.. I would like to want your opinion on my idea: To use the better normalization for my design , i practise all the normalization to compare them 1. I looked at the dispersion and position parameter for my no- normalized data: mean, max min, var, skewness, kurtosis: goal: to know the degree of normality for my data(file .cel treated by bioconductor)and after compared this results. 2.I normalize : RMA ,QUANTILE , MAS5.and i calcule the statictic parameters. My surprise : the different parameters haven' tgot the same scale: example; mean for no normalized data median 96.0 74.0 81.0 81.0 mean for RMA normalized data mean 5.294393 5.302782 5.296402 5.290933 meanfor quantile normalized data mean 219.2156 216.6649 218.4102 217.4639 why the difference between this values? 3.I think to verify these differents normalizations with kurtosis ans skewness parameter and a normality test.. what do you think of this?? 4. The last question, for this comparaison I use only four controls of my design (four biologicals replicats)... can I think that the best normalization fot these 4 controls is too the best normalization for my global design? thanks greg bioinformaticien CHUM-montreal --------------------------------- és pour dialoguer instantanément avec vos amis.Téléchargez GRATUITEMENT ici ! [[alternative HTML version deleted]]