Jeff Kiralis

12 papers B 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2014 J jnl
A Classification and Characterization of Two-Locus, Pure, Strict, Epistatic Models for Simulation and Detection.
BioData Min.
Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jeff Kiralis, Jason H. Moore
2013 — conf
Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction.
EvoBIO
Jonathan M. Fisher, Peter C. Andrews, Jeff Kiralis, Nicholas A. Sinnott-Armstrong, Jason H. Moore
2013 — conf
Optimal Use of Biological Expert Knowledge from Literature Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease.
EvoBIO
Arvis Sulovari, Jeff Kiralis, Jason H. Moore
2013 J jnl
Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies.
J. Am. Medical Informatics Assoc.
Ting Hu, Yuanzhu Peter Chen, Jeff Kiralis, Ryan L. Collins, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
2012 J jnl
GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures.
BioData Min.
Ryan J. Urbanowicz, Jeff Kiralis, Nicholas A. Sinnott-Armstrong, Tamra Heberling, Jonathan M. Fisher, Jason H. Moore
2012 J jnl
Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection.
BioData Min.
Ryan J. Urbanowicz, Jeff Kiralis, Jonathan M. Fisher, Jason H. Moore
2011 J jnl
Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks.
BMC Bioinform.
Ting Hu, Nicholas A. Sinnott-Armstrong, Jeff Kiralis, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2010 — conf
The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics.
EvoBIO
Casey S. Greene, Daniel S. Himmelstein, Jeff Kiralis, Jason H. Moore
2009 — conf
An Analysis of New Expert Knowledge Scaling Methods for Biologically Inspired Computing.
ECAL (2)
Jason M. Gilmore, Casey S. Greene, Peter C. Andrews, Jeff Kiralis, Jason H. Moore
2009 B conf
Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches.
IEEE Congress on Evolutionary Computation
Casey S. Greene, Jeff Kiralis, Jason H. Moore
2009 — conf
Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease.
EvoBIO
Casey S. Greene, Jason M. Gilmore, Jeff Kiralis, Peter C. Andrews, Jason H. Moore
2009 J jnl
Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions.
BioData Min.
Casey S. Greene, Nadia M. Penrod, Jeff Kiralis, Jason H. Moore