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.
|Depends:||R.matlab, igraph, ggplot2, reshape2|
|Maintainer:||Junliang Shang <shangjunliang110 at 163.com>|
|CRAN checks:||CINOEDV results|
|Windows binaries:||r-devel: CINOEDV_2.0.zip, r-release: CINOEDV_2.0.zip, r-oldrel: CINOEDV_2.0.zip|
|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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