Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches. - Casey S. Greene; Jeff Kiralis; Jason H. Moore (IEEE Congress on Evolutionary Computation, 2009)

An Analysis of New Expert Knowledge Scaling Methods for Biologically Inspired Computing. - Jason M. Gilmore; Casey S. Greene; Peter C. Andrews; Jeff Kiralis; Jason H. Moore (ECAL (2), 2009)

Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease. - Casey S. Greene; Jason M. Gilmore; Jeff Kiralis; Peter C. Andrews; Jason H. Moore (EvoBIO, 2009)

Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions. - Casey S. Greene; Nadia M. Penrod; Jeff Kiralis; Jason H. Moore (BioData Min., 2009)

The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics. - Casey S. Greene; Daniel S. Himmelstein; Jeff Kiralis; Jason H. Moore (EvoBIO, 2010)

Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks. - Ting Hu 001; Nicholas A. Sinnott-Armstrong; Jeff Kiralis; Angeline S. Andrew; Margaret R. Karagas; Jason H. Moore (BMC Bioinform., 2011)

Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection. - Ryan J. Urbanowicz; Jeff Kiralis; Jonathan M. Fisher; Jason H. Moore (BioData Min., 2012)

GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures. - Ryan J. Urbanowicz; Jeff Kiralis; Nicholas A. Sinnott-Armstrong; Tamra Heberling; Jonathan M. Fisher; Jason H. Moore (BioData Min., 2012)

Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction. - Jonathan M. Fisher; Peter C. Andrews; Jeff Kiralis; Nicholas A. Sinnott-Armstrong; Jason H. Moore (EvoBIO, 2013)

Optimal Use of Biological Expert Knowledge from Literature Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease. - Arvis Sulovari; Jeff Kiralis; Jason H. Moore (EvoBIO, 2013)

Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies. - Ting Hu 001; Yuanzhu Peter Chen; Jeff Kiralis; Ryan L. Collins; Christian Wejse; Giorgio Sirugo; Scott M. Williams; Jason H. Moore (J. Am. Medical Informatics Assoc., 2013)

A Classification and Characterization of Two-Locus, Pure, Strict, Epistatic Models for Simulation and Detection. - Ryan J. Urbanowicz; Ambrose Granizo-Mackenzie; Jeff Kiralis; Jason H. Moore (BioData Min., 2014)