Article

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

2025-09-13

Abstract excerpt

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 datasets due to technical variability, batch effects and identification of biologically relevant cell populations, limiting their utility in clini...

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Literature Corpus work: e0f86277-3468-54d1-a4d9-a1e4ea2400d8
DOI: 10.1101/2025.09.08.675022

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