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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


2.0 by Junliang Shang, 3 years ago

Browse source code at

Authors: Junliang Shang

Documentation:   PDF Manual  

GPL-2 license

Depends on R.matlab, igraph, ggplot2, reshape2

See at CRAN