Hi Mike,

Thanks a lot.

Could you possibly refer to packages that can take as input the DESeq transformed values for removing the batch effect?

Thanks a lot,
Gilgi

From: Michael Love [mailto:michaelisaiahlove@gmail.com]
Sent: Sunday, January 19, 2014 10:10 PM
To: Gilgi [guest]
Cc: bioconductor@r-project.org; Gilgi Friedlander
Subject: Re: obtaining the counts after batch effect removal

hi Gilgi,

Please keep all discussion on list, we like to keep a record of questions and answers for all Bioc users.

The short answer is no, we don't offer any batch removal functions, something analogous to residuals after fitting the batch effect for Gaussian distributed data.

We do offer the two transformations (described in the vignette) for producing log2 scale data with stable variance across the range of counts (i.e. homoskedastic). The transformed data could then be used with various packages for removing batch effect.

Mike

On Sun, Jan 19, 2014 at 11:05 AM, Michael Love <michaelisaiahlove@gmail.com<mailto:michaelisaiahlove@gmail.com>> wrote:
hi Gilgi,

By incorporating batch variables into the generalized linear model, we control for these effects, but what is happening is not a two step process of removal and then testing.

Mike

On Sun, Jan 19, 2014 at 5:34 AM, Gilgi [guest] <guest@bioconductor.org<mailto:guest@bioconductor.org>> wrote:

Hello,

I have a question regarding a design, in which there is a factor for "batch effect". I understand how to get the p-values when taking in account the batch factor.

I wanted to ask whether it is possible to obtain also the actual counts after batch effect removal.

Thanks a lot,
Gilgi

 -- output of sessionInfo():

none

--
Sent via the guest posting facility at bioconductor.org<http://bioconductor.org>.



	[[alternative HTML version deleted]]

