Author

Johann Wenckstern

École Polytechnique Fédérale de Lausanne

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:diffusion model· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:scRNA-seq· 1

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David Alexander SontagiD· 1 shared Gad A. GetziD· 1 shared Nicholas J. HaradhvalaiD· 1 shared Rebecca Peyser BoiarskyiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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1 shared paperBioinformatics

David Alexander SontagORCID

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1 paper

Recent·Most cited

A Diffusion-Based Autoencoder for Learning Patient-Level Representations from Single-Cell Data

Rebecca Peyser Boiarsky, Johann Wenckstern, Nicholas J. Haradhvala, Gad A. Getz, David Alexander Sontag

This paper introduces scSet, a diffusion-based autoencoder that learns patient-level representations from single-cell data, outperforming existing methods in clinical prediction with limited labeled data.

bioRxiv · Aug 21, 2025 · PreprintBioinformatics