Article

Superior batch alignment and hyper-dimensional cytometry representations allow ultra-sensitive classification of disease phenotypes

2025-07-31

Abstract excerpt

Analysis of cytometry data predominantly relies on clustering and dimensionality reduction approaches for computational tractability. This is particularly relevant for modern spectral flow cytometers, which can simultaneously measure an increasingly large number of antibody marker channels. While dimensionality reduction provides for more efficient data processing, this comes at the expense of data loss that may m...

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Literature Corpus work: e37a7b4c-40fa-56b5-be22-95ded76c9b70
DOI: 10.1101/2025.07.28.666458

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