ViSEN

ViSEN analyzes and visualizes epistatic interactions among genetic attributes to detect and interpret two-way and three-way nonlinear interactions underlying complex traits and diseases.

Key Features:

• Epistasis Analysis: Identifies significant two-way and three-way interactions among genetic attributes using information gain as the metric.
• Graphical Visualization: Represents pairwise and three-way interactions as network structures that depict relationships among genetic factors.
• Global Interaction Map: Constructs a global interaction map illustrating neighborhood and clustering structures among genetic attributes.
• Hypothesis Generation: Uses visualized epistatic networks to support inference of genetic architectures and generation of hypotheses for biological validation.

Scientific Applications:

• Complex disease genomics: Supports analysis of nonlinear genetic interactions that contribute to phenotypic diversity and disease susceptibility.
• Candidate interaction prioritization: Aids selection of epistatic interactions for downstream biological validation and experimental follow-up.

Methodology:

Uses information gain to quantify the strength of pairwise and three-way epistatic interactions and represents significant interactions as network maps highlighting neighborhood and clustering structures.