Journal article
DiffGraph: an R package for identifying gene network rewiring using differential graphical models
Bioinformatics, v 34(9), pp 1571-1573
01 May 2018
PMID: 29309511
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Abstract
Summary
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.
Availability and implementation
The package is available at https://github.com/Zhangxf-ccnu/DiffGraph.
Supplementary information
Supplementary data are available at Bioinformatics online.
Metrics
Details
- Title
- DiffGraph: an R package for identifying gene network rewiring using differential graphical models
- Creators
- Xiao-Fei Zhang - Central China Normal UniversityLe Ou-Yang - Shenzhen UniversityShuo Yang - Wuhan No.1 HospitalXiaohua Hu - Central China Normal UniversityHong Yan - City University of Hong Kong
- Publication Details
- Bioinformatics, v 34(9), pp 1571-1573
- Publisher
- Oxford University Press
- Grant note
- 61402190, 61532008 and 61602309 / National Natural Science Foundation of China (10.13039/501100001809)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000431509200019
- Scopus ID
- 2-s2.0-85047060343
- Other Identifier
- 991019167598004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Biochemical Research Methods
- Biotechnology & Applied Microbiology
- Computer Science, Interdisciplinary Applications
- Mathematical & Computational Biology
- Statistics & Probability