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Addressing the heterogeneity in liver diseases using biological networks

Simon Lam1, Stephen Doran1, Hatice Hilal Yuksel1

  • 1Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, United Kingdom; Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.

Briefings in Bioinformatics
|March 24, 2020
PubMed
Summary

Genome-scale metabolic models (GEMs) help understand how metabolic changes drive diseases like cancer and liver disease. These models aid in discovering new drug targets and biomarkers for better treatment strategies.

Keywords:
Computational biologyGenome-scale metabolic modelIntegrated networkLiver metabolismOmics integrationSystems biology

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