Article

A unified benchmark of synthetic data generation for clinical transcriptomic cancer cohorts

2026-05-16

Abstract excerpt

Achieving a trade-off between biological utility and patient privacy remains a key challenge for secure data sharing when applying transcriptomic clinical datasets to artificial intelligence in precision oncology. Here, we introduce the first benchmarking study tailored to high-dimensional clinical transcriptomic cancer data, comparing synthetic data generation methods across three clinical cancer trials. Our fram...

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Literature Corpus work: ad325708-6879-5c31-9b39-f1d7ddd8eaed
DOI: 10.64898/2026.05.13.724858

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