Author

Stuart H. Read

Australian National University

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Systems Biology· 1

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Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Ainsley R. DaviesiD· 1 shared Akshat Jain· 1 shared Benjamin S. MashfordiD· 1 shared Dillon Hammill· 1 shared Fei-Ju Li· 1 shared Koula E. M. DiamandiD· 1 shared Kristy KwongiD· 1 shared Maryam MayiD· 1 shared

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1 shared paperSystems Biology

Ainsley R. DaviesORCID

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1 paper

Recent·Most cited

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

Benjamin S. Mashford, Timothy Hewitt, Maryam May, Zixin Zhuang, Akshat Jain, Koula E. M. Diamand, Fei-Ju Li, Kristy Kwong, Stuart H. Read, Ainsley R. Davies, Dillon Hammill, T. Daniel Andrews

This paper introduces a neural network-based batch alignment method for cytometry data that preserves biological signals and enables hyperdimensional representation for improved disease phenotype classification.

bioRxiv · Jul 28, 2025 · PreprintSystems Biology