smyth at wehi.edu.au
Thu Jul 1 01:17:11 CEST 2004
At 11:09 PM 30/06/2004, Marcus Gry Björklund wrote:
>I´m trying to look for differentially expressed genes using a saturated
>design. I have 5 samples which are hybridized in the following scheme.
>Sample 1 -> sample2, sample3 (sample 1 is hybridized to sample 2 and
>sample3, sample one is colored by cy5 in both hybridizations and sample 2
>and 3 are labelled with cy3)
>Sample 2 -> sample 3, sample 4
>Sample 3 -> sample 4, sample5
>Sample 4 -> sample 1, sample 5
>Sample 5 -> sample1, sample2
>It is easier to visualize if you draw it on a paper, it will look like a
>The samples are RNA from two cell lines which has been mixed in different
>proportions, and I would like to see which genes pops up as differentially
>expressed. I have used the Maanova package from Gary churchill, and I would
>like to compare the result using the Btest.
>Do someone know how the design-matrix should be done?
One way would be to create a 'targets' data.frame, as in section 7.3 of the
Limma User's Guide, and to use
design <- modelMatrix(targets, ref="Sample 1")
This would create 4 coefficients comparing each of the other samples to
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