2026· International Conference on Conceptual Structures· pp. 159-171· 0 citations· 26 references
Computer Science
TL;DR
These findings support network curvature as a general, domain-independent indicator of biological network dysfunction, highlighting its potential to reveal fundamental geometric signatures of disease that are not captured by conventional connectivity measures.
BACKGROUND
Excessive adiposity drives cardiometabolic morbidity through macroscopic systemic mechanisms rather than isolated metabolic defects. While conventional statistical models effectively estimate marginal biomarker associations, they cannot resolve the directed and cyclic regulatory dependencies underlying this...
Jia-Peng Wang, Yu Wang, Xin Tang et al.· Computers in Biology and Med...· 0 citations
Gene network analysis is critically implicated in disease research for uncovering functional modules and interaction-driven pathways underlying biological and disease processes. However, the interpretation of large inferred networks remains challenging. Although functional gene network analysis allows the interpretatio...
Heewon Park, S. Imoto· Frontiers in Genetics· 0 citations
This work introduces an alternative criterion based on the persistent topological cycles in which each node participates---a measure of mesoscale integration that captures features beyond local connectivity---and demonstrates that persistent topology captures information about brain network control that scalar energy s...
Carter Sale, Marco Coraggio, Mengsen Zhang et al.· 0 citations
Omics data, such as transcriptomics, proteomics, and metabolomics, provide critical insights into disease mechanisms and clinical outcomes. However, their high dimensionality, small sample sizes, and intricate biological networks pose major challenges for reliable prediction and meaningful interpretation. Graph Neural...
Tian-Tian Yang, Yuxuan Wang, Zhen-Wei Zhou et al.· Briefings in Bioinformatics· 0 citations
Motivation Kinases regulate a multitude of protein functions, and their dysregulation is pivotal for many human diseases. Direct measurement of kinase activity, however, is often challenging; therefore, inferring activity from the behavior of their substrates is a widely adopted strategy. Nonetheless, traditional metho...
Lujing Zhang, A. DeMarco, Kimia Ghafari et al.· bioRxiv· 0 citations
ABSTRACT Background and Aims How Crohn's disease alters large‐scale brain network organization and interacts with affective symptoms remains poorly understood. We aimed to characterize disease‐related disruptions in functional topology, rich‐club organization, and hierarchical gradients, and to determine their associat...
