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.

Package details

AuthorJunliang Shang
MaintainerJunliang Shang <[email protected]>
Package repositoryView on CRAN
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CINOEDV documentation built on May 29, 2017, 9:07 p.m.