I have an analysis idea in mind. I have proteomics and transcriptomics data generated from same disease samples. I would like to find the features (with any kind of ranking) which are having the high role in classifying the samples as diseased.
Is it possible to do it with mixOmics?
Have a look at the methods
spls and also
block.splsda if you also want to discriminate disease samples.