[BioC] Time course experiment....
Gordon Smyth
smyth at wehi.edu.au
Tue Jan 3 02:00:29 CET 2006
topTable() doesn't have a facility for sorting on or presenting the
F-statistics, because it is individual coefficient orientated.
I have toyed with the idea that perhaps topTable() should output a
table based on the F-statistic when the argument 'coefficient' is set
to NULL. In other words topTable() would give individual coef
significance when a coef is specified, otherwise it would give
overall significance. Would you find that a useful facility?
Best wishes
Gordon
At 09:04 AM 3/01/2006, Naomi Altman wrote:
>I did not get the original posting, but doesn't Sohail just need
>"TopTable" for this?
>
>--Naomi
>
>At 08:51 AM 1/2/2006, Gordon Smyth wrote:
>>Dear Sohail,
>>
>>Well, there are lots of ways to generate such a table. Perhaps the
>>simplest is
>>
>> fitsel <- fit2[sel.dif, ]
>> as.data.frame( fitsel )
>>
>>Best wishes
>>Gordon
>>
>> >Date: Tue, 20 Dec 2005 14:03:43 -0500
>> >From: "Khan, Sohail" <khan at cshl.edu>
>> >Subject: [BioC] Time course experiment....
>> >To: <bioconductor at stat.math.ethz.ch>
>> >
>> >Dear List,
>> >
>> >I have performed a time course analysis using limma, as described in
>> >"Bioinformatics and Computational Biology Solutions ........".
>> >How can I get a list of differentially expressed genes? I've tried
>> >the code below:
>> >sel.dif<-p.adjust(fit2$F.p.vlaue,method="fdr") <0.05
>> >This produces a logical vector, right?. I would like a table of
>> >differentially expressed genes with p vales etc. Sorry, if I missed
>> >this in the limma user's guide. Thanks for any suggestions.
>> >
>> >
>> >Sohail Khan
>> >Scientific Programmer
>> >COLD SPRING HARBOR LABORATORY
>> >Genome Research Center
>> >500 Sunnyside Boulevard
>> >Woodbury, NY 11797
>> >(516)422-4076
>>
>>_______________________________________________
>>Bioconductor mailing list
>>Bioconductor at stat.math.ethz.ch
>>https://stat.ethz.ch/mailman/listinfo/bioconductor
>
>Naomi S. Altman 814-865-3791 (voice)
>Associate Professor
>Dept. of Statistics 814-863-7114 (fax)
>Penn State University 814-865-1348 (Statistics)
>University Park, PA 16802-2111
>
More information about the Bioconductor
mailing list