Article

Synthetic RNA-seq cohorts for data sharing: a discovery-aware benchmark at transcriptome scale

2026-05-26

Abstract excerpt

<h4>Background</h4> Sharing patient-level gene expression data is essential for translational discovery but carries documented re-identification risks. Bulk RNA-seq count matrices can retain genotypic signals and paired clinical metadata compounds this through quasi-identifier matching. Synthetic RNA-seq cohorts offer a complementary path for privacy-preserving data sharing, but the field lacks a multi-axis bench...

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Literature Corpus work: dd827d99-84cc-5b84-9d85-742dfe40a56f
DOI: 10.64898/2026.05.22.726357

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