Article

Generative Augmentation Reveals Previously Overlooked Signals in Transcriptomic Datasets

2026-04-27

Abstract excerpt

Identifying robust gene expression signatures from transcriptomic studies with small sample sizes remains one of the most persistent challenges in computational biology. Gene expression datasets have thousands of features but only a handful of biological samples. This presents the classic p >> n imbalance, which limits statistical power and makes it difficult to discover reliable biomarkers. In imaging, generative...

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Literature Corpus work: a3bdae72-d864-5892-960f-020b636c43cd
DOI: 10.64898/2026.04.23.720348

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