Article

Accurate, fast and memory efficient quantification of immune cell phenotypes in cytometry using machine learning

2024-07-29

Abstract excerpt

To achieve accurate and reproducible cytometry data analysis, we benchmarked 19 machine learning algorithms for supervised and unsupervised cell classification. The underlying data encompassed 138 million cells from seven independent datasets including conventional flow cytometry, spectral flow cytometry and mass cytometry. We found that tree-based classifiers and in particular Decision Trees, outperformed other a...

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Identifiers and source

Literature Corpus work: ff91270f-f76c-5569-8ba2-aa63daceca83
DOI: 10.1101/2024.07.26.605341

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