Weighted gene co-expression network analysis identifies functional modules related to bovine respiratory disease.

ABSTRACT: Bovine respiratory disease (BRD) is a multifactorial disease of dairy and beef cattle that involves complex interactions with the host immune system. In the current study, a comprehensive meta-analysis was performed using a P-value combination approach. In the next step, the identified meta-genes were subjected to systems biology analysis using the weighted gene co-expression network analysis (WGCNA) method. Subsequently, the most functionally important modules and genes were validated using machine learning algorithms. Finally, the critical regulatory network associated with BRD was constructed. A total of 1,908 common meta-genes were identified through the combined analysis of differentially expressed genes (DEGs) using the Fisher and Invorm approaches. Co-expression network analysis con

SUBMITTER: Ghahramani N 

PROVIDER: S-EPMC12558457 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature