Barbara Fazekas de St Groth

dioscRi enables transferable prediction of clinical outcomes in multi-parameter cytometry data

Abstract Multi-parameter cytometry technologies enable high-dimensional analysis of immune cell populations at single-cell resolution. Deep learning has emerged as a transformative tool for analyzing these datasets, but existing methods often struggle with transferability across...