Article

Synthetic Data to Explore Transcriptional Regulation of Differentially Expressed Genes in Ovarian Cancer

2026-01-15

Abstract excerpt

<h4>ABSTRACT</h4> In major diseases like cancer, many genes are dysregulated. While differential expression (DE) analyses help identify these genes, they do not reveal the transcriptional regulatory landscape between control and disease states. Here, we developed a process-driven model based on generalized stochastic transcriptional regulation (TR) to study DE genes in ovarian cancer. We generated over 39,000 syn...

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Literature Corpus work: 2307abd0-f04a-5bb5-a622-e0e82772742f
DOI: 10.64898/2026.01.15.699618

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