ONDSA: a testing framework based on Gaussian graphical models for differential and similarity analysis of multiple omics networks.

ABSTRACT: The Gaussian graphical model (GGM) is a statistical network approach that represents conditional dependencies among components, enabling a comprehensive exploration of disease mechanisms using high-throughput multi-omics data. Analyzing differential and similar structures in biological networks across multiple clinical conditions can reveal significant biological pathways and interactions associated with disease onset and progression. However, most existing methods for estimating group differences in sparse GGMs only apply to comparisons between two groups, and the challenging problem of multiple testing across multiple GGMs persists. This limitation hinders the ability to uncover complex biological insights that arise from comparing multiple conditions simultaneously. To address these cha

SUBMITTER: Chen J 

PROVIDER: S-EPMC11586129 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature