Article

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

2025-08-25

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) offers insights into cellular heterogeneity and tissue composition, yet leveraging this data for patient-level clinical predictions remains challenging due to the set-structured nature of single-cell data, as well as the scarcity of labeled samples. To address these challenges, we introduce scSet, a diffusion-based autoencoder that learns patient-level representations from se...

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Literature Corpus work: febcb9c6-8696-5f1d-825e-9da71a208e89
DOI: 10.1101/2025.08.21.671613

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