Integrating DNA methylation and gene expression data in a single gene network using the iNETgrate package

Sci Rep. 2023 Dec 8;13(1):21721. doi: 10.1038/s41598-023-48237-8.

Abstract

Analyzing different omics data types independently is often too restrictive to allow for detection of subtle, but consistent, variations that are coherently supported based upon different assays. Integrating multi-omics data in one model can increase statistical power. However, designing such a model is challenging because different omics are measured at different levels. We developed the iNETgrate package ( https://bioconductor.org/packages/iNETgrate/ ) that efficiently integrates transcriptome and DNA methylation data in a single gene network. Applying iNETgrate on five independent datasets improved prognostication compared to common clinical gold standards and a patient similarity network approach.

MeSH terms

  • DNA Methylation*
  • Gene Expression
  • Gene Regulatory Networks
  • Humans
  • Software*