Entering edit mode
Hollis,
What are you using? ComBat or SVA?
ComBat does work with some missingness but its it depends on what is
missing. For example, if you are missing all values for one batch for
one gene, you will get a singularity error.
Evan
On Sep 24, 2013, at 6:00 AM, <bioconductor-request at="" r-project.org="">
wrote:
> Date: Mon, 23 Sep 2013 20:32:22 -0400
> From: Jeff Leek <jtleek at="" gmail.com="">
> To: Hollis Wright <wrighth at="" ohsu.edu="">
> Cc: "bioconductor at r-project.org" <bioconductor at="" r-project.org="">
> Subject: Re: [BioC] sva/ComBat with missing values?
> Message-ID:
> <cagwgrqmc9gyu4juivjtgxt01_6-rlavfo1ix=mmq0akphjxyzg at="" mail.gmail.com="">
> Content-Type: text/plain
>
> Hi Hollis
>
> At the moment the only way you can perform these analyses is on a
complete
> matrix of genomic measurements. Depending on the structure of the
missing
> data, one approach is to use the impute package:
>
> http://www.bioconductor.org/packages/release/bioc/html/impute.html
>
> to impute the missing values before performing Combat/SVA.
>
> Hope this helps!
>
> Jeff
>
>
>
>
> On Mon, Sep 23, 2013 at 4:08 PM, Hollis Wright <wrighth at="" ohsu.edu="">
wrote:
>
>> Hi, all; I have a 224-gene OpenArray RT-PCR data set that I'm
analyzing,
>> and I strongly suspect one of the runs is having a batch effect on
the
>> entire experiment from EDA and analysis of the quality values.
>> Unfortunately, this means that there are a number of missing values
in the
>> matrix (though not all from the suspect run). If I pull the genes
>> containing these values, SVA/ComBat works nicely to clean up the
data that
>> remains; if I don't, it fails with a "system is exactly singular"
Lapack
>> routine error. Is there any way to force these functions to use
something
>> like the "pairwise.complete.obs" from cor to work around the
missing
>> values, or is my only option to drop genes?
>>
>> Hollis Wright, PhD
>> Ojeda Lab, Division of Neuroscience
>> Oregon Health and Science University
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>