Exploring Network Curvature Differences in Gene Expression Networks

Abstract excerpt

Networks and their properties have been used to study complex biological systems. Recently, network curvature measures have demonstrated the ability to capture relevant net- work properties. This study employs network curvature measures to analyse gene expression correlations in various human tissues for identifying unique topological features that differentiate these groups. Preliminary findings suggest that curv...

Topics

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• Algorithms
• Bioinformatics and Genomic Networks
• Computational Biology
• Ferroptosis and cancer prognosis
• Gene Expression Profiling
• Gene Expression Regulation
• Gene Regulatory Networks
• Phenotype

Identifiers and source

Literature Corpus work

0654f4e6-c5fb-5ef4-afc8-3bc04417d670

DOI

10.20944/preprints202410.2354.v1