 Thanks a lot!


Вторник,  6 августа 2013, 20:33 +01:00 от Laurent Gatto <lg390@cam.ac.uk>:
>On 6 August 2013 16:32, Wolfgang Huber < whuber@embl.de > wrote:
>> @all: I am not sure what would be a good user interface would be for modifying the "plotPCA" function so that it can return the 'pca' object for user inspection (such as desired by Alexey); currently it returns the 'trelliis' object as its return value.
>
>I have a similar function (pRoloc::plot2D) that invisibly returns the
>prcomp(...)$x[, dims] matrix that used for plotting, where dims are
>the PCs requested by the user (default being 1:2). I also report the
>proportion of variance explained by these two components on the axes.
>
>Best wishes,
>
>Laurent
>
>> Best wishes
>>         Wolfgang
>>
>>
>>
>> On 6 Aug 2013, at 08:54, Alexey Moskalev < amoskalev@list.ru > wrote:
>>
>>> I am using DeSeq package to produce Principal components biplot on variance stabilized data for my RNASeq data. I was wondering if you advice me how to know Proportion of Variance for the first and the second Principal components using DeSeq?
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>
>
>
>-- 
>Laurent Gatto
>-  http://proteome.sysbiol.cam.ac.uk/lgatto/
>Cambridge Centre for Proteomics
>-  http://www.bio.cam.ac.uk/proteomics
>Using R/Bioconductor for proteomics data analysis
>-  http://lgatto.github.io/RforProteomics/


Sincerely,
Dr. Alexey Moskalev

Head of the Laboratory of Molecular Radiobiology and Gerontology
Institute of Biology, Komi Science Center of RAS,
Kommunisticheskaya St.28
167982, Syktyvkar
Russia

Blog: http://aging-genes.livejournal.com/

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