Spectral divergence prioritizes key classes, genes, and pathways shared between substance use disorders and cardiovascular disease.

ABSTRACT:

Introduction

Substance use disorders (SUDs) are heterogeneous diseases with overlapping biological mechanisms and often present with co-occurring disease, such as cardiovascular disease (CVD). Gene networks associated with SUDs also implicate additional biological pathways and may be used to stratify disease subtypes. Node and edge arrangements within gene networks impact comparisons between classes of disease, and connectivity metrics, such as those focused on degrees, betweenness, and centrality, do not yield sufficient discernment of disease network classification. Comparatively, the graph spectrum's use of comprehensive information facilitates hypothesis testing and inter-disease clustering by using a larger range of graph characteristics. By adding a connectivity-based method,

SUBMITTER: Castaneda E 

PROVIDER: S-EPMC12321874 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature