Main logo
?
tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

Differential Gene Correlation Analysis DGCA

Online

An R package for systematically assessing the difference in gene-gene regulatory relationships under different conditions. DGCA contains functions to filter, process, save, visualize, and interpret differential correlations of identifier-pairs across the entire identifier space, or with respect to a particular set of identifiers (e.g., one). It also contains several functions to perform differential correlation analysis on clusters (i.e., modules) or genes. Finally, it proposes functions to generate empirical p-values for the hypothesis tests and adjust them for multiple comparisons. This user-friendly, effective, and comprehensive software tool will facilitate the application of differential correlation analysis in many biological studies and thus will help identification of novel signalling pathways, biomarkers, and targets in complex biological systems and diseases.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.

DGCA forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

DGCA classification

DGCA specifications

Software type:
Package/Module
Restrictions to use:
None
Output data:
Differentially correlated gene pairs for visualization, gene ontology (GO) enrichment, and/or network construction
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes
Interface:
Command line interface
Input data:
A matrix of gene expression values, a design matrix specifying conditions associated with samples, and a specification of the conditions for comparison
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Version:
1.0.1
Requirements:
WGCNA, matrixStats, methods

DGCA distribution

versioning

tutorial arrow
×
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

download

DGCA support

Documentation

Maintainer

  • Bin Zhang <>

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship

Publications

Institution(s)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA

Funding source(s)

This work was supported by the grants F30AG052261 and R01AG046170 from the NIH/National Institute on Aging (NIA), R01CA163772 from NIH/National Cancer Institute (NCI), and U01AI111598-01 from NIH/National Institute of Allergy and Infectious Diseases (NIAID).

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.