In silico systems oncology approach maps the metabolic reprogramming landscape in age-associated mitochondrial dysfunction as a driver of tumorigenesis

Name: In silico systems oncology approach maps the metabolic reprogramming landscape in age-associated mitochondrial dysfunction as a driver of tumorigenesis
Creator: Biomedical Informatics and Engineering Research Laboratory (BIRL)
Published: 2026-06-18T09:48:13.608Z
Keywords: Cancer Systems Biology, Metabolism, Network Analysis, Robustness in Macromolecular Networks

(BIRL), Biomedical Informatics and Engineering Research Laboratory

doi:10.17632/ybpt9bfjk4.1

In silico systems oncology approach maps the metabolic reprogramming landscape in age-associated mitochondrial dysfunction as a driver of tumorigenesis

Published: 18 June 2026| Version 1 | DOI: 10.17632/ybpt9bfjk4.1

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Biomedical Informatics and Engineering Research Laboratory (BIRL)

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All the result files including input, analysis, output and their interpretations used to evaluate the study are provided.

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Lahore University of Management Sciences
Punjab, Lahore

In silico systems oncology approach maps the metabolic reprogramming landscape in age-associated mitochondrial dysfunction as a driver of tumorigenesis

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