DDN3.0: determining significant rewiring of biological network structure with differential dependency networks.

ABSTRACT:

Motivation

Complex diseases are often caused and characterized by misregulation of multiple biological pathways. Differential network analysis aims to detect significant rewiring of biological network structures under different conditions and has become an important tool for understanding the molecular etiology of disease progression and therapeutic response. With few exceptions, most existing differential network analysis tools perform differential tests on separately learned network structures that are computationally expensive and prone to collapse when grouped samples are limited or less consistent.

Results

We previously developed an accurate differential network analysis method-differential dependency networks (DDN), that enables joint learning of common and rewired net

SUBMITTER: Fu Y 

PROVIDER: S-EPMC11199198 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature