Network integration of genetically regulated gene expression to study complex diseases

Zhidong Tu, Bin Zhang, Jun Zhu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

Understanding the molecular mechanisms underlying the connections between genotype and phenotype in human is one of the most important biological questions. By integrating genomic and genetic information to constructing network models, we demonstrate that potential gene regulatory mechanisms and key genes can be identified. We review multiple network algorithms that have been applied to discovering the key pathways linking the genetic and phenotype. Using two application examples, we show that novel hypotheses can be formed and experimentally validated to help us to better understand human complex diseases.

Original languageEnglish
Title of host publicationIntegrating Omics Data
PublisherCambridge University Press
Pages88-109
Number of pages22
ISBN (Electronic)9781107706484
ISBN (Print)9781107069114
DOIs
StatePublished - 1 Jan 2015

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