Frequencies with many variables

#1
I have one grouping variable: mutant (=1) and non-mutant (=0)

I have >100 genes of which are either altered (=1) or not altered (=0) in each group.

I would like to analyze whether the genes are altered (=1) more often than by chance within the groups (mutant and non-mutant).

I know if I had one or two genes, I could just use Fisher's or Chi square, but how does one run each one with so many independent variables? Thanks
 

Dason

Ambassador to the humans
#2
Can you give an example of what your data actually looks like. I think that would clear up some questions I have.
 
#3
Can you give an example of what your data actually looks like. I think that would clear up some questions I have.
V1 is the grouping variable, either 0 or 1. The subsequent columns are the genes, and they are either altered (1) or not altered (0). I want to know if the groups in V1 are more frequently altered than expected by chance. However, I have about 300 genes (columns) and wanted to analyze each according to V1. Thanks

Capture.JPG