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DiffGraph: An R package for identifying gene network rewiring using differential graphical models

  • Xiao-Fei Zhang
  • , Le Ou-Yang*
  • , Shuo Yang
  • , Xiaohua Hu
  • , Hong Yan
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

We develop DiffGraph, an R package that integrates four influential differential graphical models for identifying gene network rewiring under two different conditions from gene expression data. The input and output of different models are packaged in the same format, making it convenient for users to compare different models using a wide range of datasets and carry out follow-up analysis. Furthermore, the inferred differential networks can be visualized both non-interactively and interactively. The package is useful for identifying gene network rewiring from input datasets, comparing the predictions of different methods and visualizing the results.
Original languageEnglish
Pages (from-to)1571-1573
JournalBioinformatics
Volume34
Issue number9
Online published22 Dec 2017
DOIs
Publication statusPublished - 1 May 2018

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