[BioC] Up & Downregulated genes using DESeq
Wolfgang Huber
whuber at embl.de
Tue Mar 27 13:33:51 CEST 2012
Dear Ekta and Bruce
just for the record: Omar's initial question was how to export a result
table from DESeq into text files for subsequent analysis e.g. by
spreadsheets. That was answered by Steve.
Then a discussion started on fold change cutoffs that might be applied
in addition to the criterion of statistical significance (p-value).
People might enjoy various arbitrary choices here, including "2", but
this has nothing to do with DESeq or with Omar's question.
best wishes
Wolfgang
Ekta Jain scripsit 03/27/2012 12:46 PM:
> I am not a statistician but from whatever experience i have had to find differentially expressed genes, the logFC cut off used has been of a two-fold change (increase or decrease). Of course, if in any analysis your fold change gene list needs be reduced or increased for number of genes you could change the two-fold threshold to zero or three.
>
> For a first off step, arbitrarily (as bruce also put it), two fold change seems ideal to use.
>
> Best,
> --E
>
>
>
> -----Original Message-----
> From: bioconductor-bounces at r-project.org [mailto:bioconductor-bounces at r-project.org] On Behalf Of Bruce Moran(External)
> Sent: 27 March 2012 15:07
> To: Simon Anders; bioconductor at r-project.org
> Subject: Re: [BioC] Up& Downregulated genes using DESeq
>
> Would be very interested to know how to define a fold change cutoff for
> RNAseq data. Doesn't seem to be any power analysis that might be of use.
>
> I use 2 (arbitrarily) also.
>
> Bruce.
>
> -----Original Message-----
> From: bioconductor-bounces at r-project.org
> [mailto:bioconductor-bounces at r-project.org] On Behalf Of Simon Anders
> Sent: 27 March 2012 10:15
> To: bioconductor at r-project.org
> Subject: Re: [BioC] Up& Downregulated genes using DESeq
>
> On 03/27/2012 06:34 AM, Ekta Jain wrote:
>> As far as i gather, the threshold for upregulated or downregulated
> genes should be>2FoldChange and>-2 FoldChange respectively. Not>0 or<0.
>
> Why 2?
>
> Simon
>
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--
Best wishes
Wolfgang
Wolfgang Huber
EMBL
http://www.embl.de/research/units/genome_biology/huber
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