Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease.

ABSTRACT: It's increasingly important but difficult to determine potential biomarkers of schizophrenia (SCZ) disease, owing to the complex pathophysiology of this disease. In this study, a network-fusion based framework was proposed to identify genetic biomarkers of the SCZ disease. A three-step feature selection was applied to single nucleotide polymorphisms (SNPs), DNA methylation, and functional magnetic resonance imaging (fMRI) data to select important features, which were then used to construct two gene networks in different states for the SNPs and DNA methylation data, respectively. Two health networks (one is for SNP data and the other is for DNA methylation data) were combined into one health network from which health minimum spanning trees (MSTs) were extracted. Two disease networks also fo

SUBMITTER: Su-Ping Deng 

PROVIDER: S-EPMC6207076 | biostudies-literature | 2018 Sep-Oct

REPOSITORIES: biostudies-literature