Hello all,

 

I have a fundamental question to ask related to clustering.  As you
know, when we do statistic analysis, such as t-test, or anova, we like
to log transform our data to make it normally distributed.  My question
is shall we use signal intensity of affy chips to cluster or use log
transformed data.  The Dendrogram profiles are certainly different when
comparing two type of the data.

 

Thanks,

 

AG


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