Patrick Choi

Leakage-Free Evaluation of Single-Cell Treatment Response Classifiers Reveals Systematic Underpowering in Small Public Cohorts

Background: Machine learning frameworks using single-cell RNA sequencing data are increasingly applied to predict treatment response and identify biomarker signatures. However, a pervasive methodological flaw, performing highly variable gene selection and feature scaling globally...