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Using R bioconductor for differential gene expression

I just want to know how to use R bioconductor for the 3 sets of microarray data of schizophrenia and whats it's steps, please answer me?

Thank you.

r bioconductor
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updated by zx8754 zx8754 • written by shuklapriyanka287 • shuklapriyanka287

If you google the words in the title of your post, you'll find an array of good documentation. Please make some attempt to do some research before asking a question. The result will be better for everyone.

Read the Limma Userguide, as mentioned by Fereshteh, it's like a mini-bible on differential gene expression measurements.

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written by seidel seidel

Hello shuklapriyanka287!

We believe that this post does not fit the main topic of this site.

Too broad.

For this reason we have closed your question. This allows us to keep the site focused on the topics that the community can help with.

If you disagree please tell us why in a reply below, we'll be happy to talk about it.

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written by zx8754 zx8754

1 answer

First: normalize your data based on the array (CEL or txt)

sharing some naive codes for microarray normalization in R with whom are too new in R alike me

Second: use limma for differential expression

https://www.bioconductor.org/help/course-materials/2005/BioC2005/labs/lab01/estrogen/

When I did not know how to use R, I used to use geworkbench to do so

http://wiki.c2b2.columbia.edu/workbench/index.php/Download_and_Installation

Just download and install that, then upload your data and use t-test or so on for differential expression

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written by zizigolu zizigolu

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