Automated in-silico detection of cell populations in flow cytometry readouts and its application to leukemia disease monitoring

Abstract

Multivariate classification techniques allow for automating cell population detection in cytometry readouts for diagnostic purposes. They potentially reduce time, costs and arbitrariness associated with these procedures. Due to their multivariate classification rules, they also allow for the reliable detection of small cell populations.