Can I do quantitative enrichment analysis for untargeted lipidomics data, I mean I won’t have concentrations, it is only normalized peak intensities/intensity ratios for identified/annotated peaks? if no, then what alternative do I have? is it only ORA?
I have seen some papers use this function with peak areas but I am not sure if this is correct or not.
Can you advise please?
I would suggest to read our recent publications on this topic:
- Lu, Y., Pang, Z., and Xia, J. (2023) Comprehensive investigation of pathway enrichment methods for functional interpretation of LC-MS global metabolomics data Briefings In Bioinformatics (doi: 10.1093/bib/bbac553)
- Pang, Z., Zhou, G., Ewald, J., Chang, L., Hacariz, O., Basu, N., and Xia, J. (2022) Using MetaboAnalyst 5.0 for LC-HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data Nature Protocols (doi: 10.1038/s41596-022-00710-w)
- Pang, Z., Chong, J., Zhou, G., Morais D., Chang, L., Barrette, M., Gauthier, C., Jacques, PE., Li, S., and Xia, J. (2021) MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights Nucl. Acids Res. (doi: 10.1093/nar/gkab382)