Assessment of complementarity of WGCNA and NERI results for identification of modules associated to schizophrenia spectrum disorders.

ABSTRACT: Psychiatric disorders involve both changes in multiple genes as well different types of variations. As such, gene co-expression networks allowed the comparison of different stages and parts of the brain contributing to an integrated view of genetic variation. Two methods based on co-expression networks presents appealing results: Weighted Gene Correlation Network Analysis (WGCNA) and Network-Medicine Relative Importance (NERI). By selecting two different gene expression databases related to schizophrenia, we evaluated the biological modules selected by both WGCNA and NERI along these databases as well combining both WGCNA and NERI results (WGCNA-NERI). Also we conducted a enrichment analysis for the identification of partial biological function of each result (as well a replication analysi

SUBMITTER: Feltrin AS 

PROVIDER: S-EPMC6333352 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature