[BioC] HELP! lmFit and duplicateCorrelation
Jenny Drnevich
drnevich at uiuc.edu
Tue Oct 9 17:21:55 CEST 2007
At 09:19 AM 10/9/2007, Tiandao Li wrote:
>Hello Ido,
>
> Block Row Column ID Name
>519 4 2 17 37A-C02.g P00765
>531 4 4 17 37A-C02.g P00765
>513 4 1 17 37A-C02.g P00765
>
>For 37A-C02.g, I only selected the first couple of genes from the topTable
>list, all 4 replicate spots are printed consecutively in the same column.
This is not the same as consecutively spacing in ROWS, which is what
the default value of spacing=1 means. Your spacing is probably the
number of spots per row on the array. Check MA$genes to see how many
rows of the data matrix separate your duplicates.
Jenny
>Thanks for your reply.
>
>Tiandao
>
>On Tue, 9 Oct 2007, Ido M. Tamir wrote:
>
>On Tuesday 09 October 2007 01:20, Tiandao Li wrote:
> > Hello,
> >
> > I had arrays with 4 replicate spots per gene. I used limma package for
> > data analysis.
> >
> > > targets
> >
> > SlideNumber FileName Cy3 Cy5 Name
> > Field1 1 13617731 WBM WC Field1
> > Field2 2 13617730 WBM WC Field2
> > Field3 3 13617724 WC WBM Field3
> > Field4 4 13617627 WC WBM Field4
> > Field5 5 13617626 WBM WC Field5
> >
> > After read in data, normalization, I used the following codes for
> > within-array replicate spots.
> >
> > design <- modelMatrix(targets, ref="WC")
> > corfit <- duplicateCorrelation(MA, design, ndups=4) # A slow computation!
> > fit <- lmFit(MA, design, ndups=4, correlation=corfit$consensus,
> > method="ls")
> > fit2 <- lmFit(MA, design, ndups=4, correlation=corfit$consensus,
> > method="robust")
>
>Dear Tiandao,
>
>unless the replicate spots are consecutive you have to give a spacing
>argument to indicate what the replicate spots actually are.
>If they are randomly spotted on the array, you would have to rearrange
>them somehow and then use the appropriate spacing.
>
>519 4 2 17 37A-C02.g P00765
>531 4 4 17 37A-C02.g P00765
>
>doesn't look as if the replicate spots are one after the other.
>
>HTH best wishes,
>ido
>
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