Enrichment analysis is a computational technique designed to pinpoint the presence of over-represented features among statistically significant lipids. Its primary purpose is to guide researchers in selecting the most promising avenues to reach their research objectives.
We prepared a short article that contains a brief overview of some enrichment analysis types used in lipidomics: feature enrichment, pathway enrichment, reaction enrichment, and gene enrichment.
We also cover some of these and other aspects in our data analysis webinars.
You can find the article and webinar links here:
#lipid #lipidomics #MassSpectrometry #LipidMetabolism #lipotype #DataAnalysis #LipidomicsDataAnalysis #Enrichment
