Article

Causality-aware graph neural networks for functional stratification and phenotype prediction at scale

2024-12-29

Abstract excerpt

We employ a computational framework that integrates mathematical programming and graph neural networks to elucidate functional phenotypic heterogeneity in disease by classifying entire pathways under various conditions of interest. Our approach combines two distinct, yet seamlessly integrated, modeling schemes. First, we leverage Prior Knowledge Networks (PKNs) to reconstruct gene networks from genomic and transcr...

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Literature Corpus work: f2d5b491-850d-5271-ba90-093a8946c926
DOI: 10.1101/2024.12.28.630070

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