[BioC] Estimate how much a factor contributes to the variation

[Hooiveld, Guido]

Hi,
The library PVCA can (at least partially) do this: unfortunately, AFAIK, only variation due to categorical variables can be analyzed (thus not continuous ones).
http://www.bioconductor.org/packages/2.12/bioc/html/pvca.html

Regards,
Guido


-----Original Message-----
From: bioconductor-bounces at r-project.org [mailto:bioconductor-bounces at r-project.org] On Behalf Of Robert Svensen
Sent: Monday, March 25, 2013 20:58
To: bioconductor at r-project.org
Subject: [BioC] Estimate how much a factor contributes to the variation

Dear Bioconductors,

I'm analyzing a microarray data set with three factors; cancer (yes or no, the interesting one), age and % tumour cells in sample.

I'm interested to know how much each factor/coefficent is able to describe the overall variation in the data set.

My googlefu turns up little of interest, could someone suggest a suitable package or some key words that could take me further?

Cheers,
Rob

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