Article

Expression graph network framework for biomarker discovery

2025-05-01

Abstract excerpt

<h4> A bstract </h4> Biomarker discovery for complex diseases like cancer hinges on uncovering molecular signatures that capture intricate, interconnected relationships within biological data, a challenge that traditional statistical and machine learning methods often fail to meet due to the complexity of high-dimensional gene expression profiles. To overcome this, we introduce the Expression Graph Network Fram...

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Literature Corpus work: 7a429bca-d159-5f15-93e7-6552ff1a096a
DOI: 10.1101/2025.04.28.651033

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