CytoVI: deep generative modeling of antibody-based single cell data.
PubMed / NCBI E-utilities · Indexed academic record · Source published: Wed Sep 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · Indexed here: Thu Oct 08 2026 09:09:22 GMT+0000 (Coordinated Universal Time)
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Antibody-based single-cell technologies, such as flow cytometry, mass cytometry and CITE-seq, have become widely used in clinical diagnostics and basic research; however, their analysis is complicated by technical noise, batch effects, platform differences and restricted antibody panels. Here we present CytoVI, a probabilistic generative model for statistically rigorous unified analysis of antibod
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