I would like to integrate genomic and metabolomics data. My genomic data are binary, where 0 indicates that the allele is not amplified and 1 indicates that the allele is amplified.
Could you please advise me on the appropriate analysis methods to use for this integration?
You can have a look at previous posts about genotype data. Our methods might not be suited as genomic data do not contain a lot of information (especially if you perform variable selection). In your case the data will be considered as continuous, not categorical. In most of our methods the variables are centered and scaled across all individuals.
In order to choose the appropriate method, you will have first to refine your biological question.