Can I use rCCA to analyze my data?

Analysis
1

Hi,

I am integrating 16S rRNA sequencing data with untargeted metabolomics data, with the aim of exploring associations between gut microbial genera and metabolites related to kidney function impairment. Is rCCA an appropriate method for this purpose? If so, should I perform rCCA using the abundance tables of the differential genera and metabolites identified from previous analyses, or should I apply rCCA to the full set of genera and metabolites to identify associated genus–metabolite pairs, and then examine their relationships with kidney function?

Thank you for your assistance！

2

Hi @Alley ,

Depending on the size of your data it might be more suitable to use sPLS to also do variable selection during the process, that way you can apply the full set and not induce any bias in the analysis. You can also consider sPLS-DA for single omics data set (to separate your sample groups) and DIABLO for the multi-omics integration and classification.

Kim-Anh