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 163.com> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | CINOEDV results |
Reference manual: | CINOEDV.pdf |
Package source: | CINOEDV_2.0.tar.gz |
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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