Ihsan Yozgat

A multiverse-consensus pipeline for reproducible feature selection in untargeted LC-MS metabolomics

Mohammed Saeed Al-Huraibi, Ihsan Yozgat, Ahmet Kaplan

Background: Untargeted LC-MS metabolomics requires a long chain of preprocessing decisions, each with several equally defensible options. Analysts typically commit to one pipeline and report the resulting feature shortlist. How strongly that shortlist depends on choices that were…Read more