Co-expression Networks in Predicting Transcriptional Gene Regulation

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Recent progress in transcriptomics and co-expression networks have enabled us to predict the inference of the biological functions of genes with the associated environmental stress. Microarrays and RNA sequencing (RNA-seq) are the most commonly used high-throughput gene expression platforms for detecting differentially expressed genes between two (or more) phenotypes. Gene co-expression networks (GCNs) are a systems biology method for capturing transcriptional patterns and predicting gene interactions into functional and regulatory relationships. Here, we describe the procedures and tools used to construct and analyze GCN and investigate the integration of transcriptional data with GCN to provide reliable information about the underlying biological mechanism.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages1-11
Number of pages11
DOIs
Publication statusPublished - 2021

Publication series

NameMethods in Molecular Biology
Volume2328
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • Biological networks
  • Co-expression networks
  • Network analysis
  • Systems biology
  • Target gene identification
  • Transcriptomics

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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