Article

Towards Useful and Private Synthetic Omics: Community Benchmarking of Generative Models for Transcriptomics Data

2026-03-04

Abstract excerpt

<h4>Background</h4> The synthesis of anonymized data derived from real-world cohorts offers a promising strategy for regulatory-compliant and privacy-preserving biological data sharing, potentially facilitating model development that can improve predictive performance. However, the extent to which generative models can preserve biological signals while remaining resilient to adversarial privacy attacks in high-di...

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Literature Corpus work: 105be2c3-4b15-5a3b-b17c-9f9284a54ce9
DOI: 10.64898/2026.03.02.707794

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