CINOEDV: Co-Information based N-Order Epistasis Detector and Visualizer

Detecting and visualizing nonlinear interaction effects of single nucleotide polymorphisms or epistatic interactions, especially high-order epistatic interactions, are important topics in bioinformatics because of their significant mathematical and computational challenges. We present CINOEDV (Co-Information based N-Order Epistasis Detector and Visualizer) for detecting, visualizing, and analyzing high-order epistatic interactions by introducing virtual vertices into the construction of a hypergraph. CINOEDV was developed as an alternative to existing software to build a global picture of epistatic interactions and unexpected high-order epistatic interactions, which might provide useful clues for understanding the underlying genetic architecture of complex diseases.

Version: 2.0
Depends: R.matlab, igraph, ggplot2, reshape2
Published: 2014-11-27
Author: Junliang Shang
Maintainer: Junliang Shang <shangjunliang110 at>
License: GPL-2
NeedsCompilation: no
CRAN checks: CINOEDV results


Reference manual: CINOEDV.pdf
Package source: CINOEDV_2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: CINOEDV_2.0.tgz
OS X Mavericks binaries: r-oldrel: CINOEDV_2.0.tgz
Old sources: CINOEDV archive


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