Author

Can Ergen

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Open access Sep 2026

CytoVI: deep generative modeling of antibody-based single cell data.

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 proba...

Florian Ingelfinger, Nathan Levy, Can Ergen et al. · Nature Methods · 0 citations

Open access Sep 2026

ResolVI: addressing noise and bias in spatial transcriptomics

Technologies for estimating RNA expression at high throughput, in intact tissue slices and with high spatial resolution (spatial transcriptomics) shed new light on how cells communicate and tissues function. A fundamental step in analyzing data generated by subcellular resolution spatial transcriptomics technologies is...

Can Ergen, Nir Yosef · Nature Methods · 0 citations