GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures

Ryan J. Urbanowicz, Jeff Kiralis, Nicholas A. Sinnott‐Armstrong, +3

BioData Mining

Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions

Casey S. Greene, Nadia M. Penrod, Jeff Kiralis, +1

BioData Mining

Characterizing genetic interactions in human disease association studies using statistical epistasis networks

Ting Hu, Nicholas A. Sinnott‐Armstrong, Jeff Kiralis, +3

BMC Bioinformatics

An information-gain approach to detecting three-way epistatic interactions in genetic association studies

Ting Hu, Yuanzhu Chen, Jeff Kiralis, +5

Journal of the American Medical Informatics Association

Vi<scp>SEN</scp>: Methodology and Software for Visualization of Statistical Epistasis Networks

Ting Hu, Yuanzhu Chen, Jeff Kiralis, +1

Genetic Epidemiology

Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection

Ryan J. Urbanowicz, Jeff Kiralis, Jonathan Fisher, +1

BioData Mining

Heuristic Identification of Biological Architectures for Simulating Complex Hierarchical Genetic Interactions

Jason H. Moore, Ryan C. Amos, Jeff Kiralis, +1

Genetic Epidemiology