Question: Test independence categorical variables in genomic data (TF binding and regulated loci)
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gravatar for annerionta93
3.4 years ago by
annerionta9310
United States
annerionta9310 wrote:

I have a question regarding testing the independence of two categorical variables in biology. I’ll first explain it in biological terms and then more generally.

 I have a list of  down regulated loci and a list of binding events of a transcription factor. How can I test whether my TF affects the regulation of the loci?

 In more general words there are windows in the genome that are either classified as yes or no for two categories. I want to test whether one category affects the other. However, in the contingency table most of the windows will have both a no no.

At first I thought I would treat this as a chi squared test but I always get that we can reject the null hypothesis of independence of the categories. Since I think there is always a really large no- no category. Here's a sample of what I see:

             TF_binding_event

       loci     no     yes

       no  2510067    1070

       yes    2736       4

Any suggestions on how to deal with this?

Thanks,

rna-seq chip-seq • 812 views
ADD COMMENTlink modified 3.4 years ago by gavinmdouglas10 • written 3.4 years ago by annerionta9310
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gravatar for gavinmdouglas
3.4 years ago by
Canada
gavinmdouglas10 wrote:

I think a chi-squared or fisher's exact test would be fine for this. You might want to increase the window sizes to increase the # of values in "yes yes" though.

ADD COMMENTlink written 3.4 years ago by gavinmdouglas10
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