[R] How to do covariate adjustment in R

From: karena <dr.jzhou_at_gmail.com>
Date: Thu, 19 May 2011 19:21:56 -0700 (PDT)


Hi, I have a question about how to do covariate adjustment.

I have two sets of 'gene expression' data. They are from two different tissue types, 'liver' and 'brain', respectively. The purpose of my analysis is to compare the pattern of the whole genome
'gene expression' between the two tissue types.
I have 'age' and 'sex' as covariates. Since 'age' and 'sex' definitely have influence on gene expression, I need to first filter out the proporation of
'gene expression' attributable to 'age' and 'sex', then compare the
'remaining gene expression' value between 'liver' and 'brain'.
How to do the covariate adjustment to remove the effects of these two
covariates?
Should I do a 'step-wise' regression or something? Which function in R should I use?

I am new to this field, and really appreciate your help!

thank you very much,

karena

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Received on Fri 20 May 2011 - 04:15:10 GMT

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