Article

Characterization of metabolic phenotypes in breast cancer through the integration of genome-scale metabolic models and machine learning

2025-08-01

Abstract excerpt

The metabolic heterogeneity of breast cancer represents a significant challenge for the identification of biomarkers and therapeutic targets. To address this problem, we integrated genome-scale metabolic models with machine learning algorithms, aiming to characterize the metabolic phenotypes associated with the disease. There were 90 specific metabolic models generated from clinical and gene expression data from t...

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Literature Corpus work: 37f8e175-1e07-5aa3-bfb8-2cecc7360154
DOI: 10.1101/2025.07.29.667003

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