Jeff Kiralis

发表

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

Ting Hu, Jason H. Moore, Yuanzhu Peter Chen, 2013, J. Am. Medical Informatics Assoc..

Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches

Jason H. Moore, Casey S. Greene, Jeff Kiralis, 2009, 2009 IEEE Congress on Evolutionary Computation.

Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease

Jason H. Moore, Casey S. Greene, Jeff Kiralis, 2009, EvoBIO.

A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detection

Jason H. Moore, Ryan J. Urbanowicz, Jeff Kiralis, 2014, BioData Mining.

An Analysis of New Expert Knowledge Scaling Methods for Biologically Inspired Computing

Jason H. Moore, Casey S. Greene, Jeff Kiralis, 2009, ECAL.

Optimal Use of Biological Expert Knowledge from Literature Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease

Jason H. Moore, Jeff Kiralis, Arvis Sulovari, 2013, EvoBIO.

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

Jason H. Moore, Ryan J. Urbanowicz, Jeff Kiralis, 2012, BioData Mining.

Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction

Jason H. Moore, Nicholas A. Sinnott-Armstrong, Jeff Kiralis, 2013, EvoBIO.

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

Jason H. Moore, Casey S. Greene, Jeff Kiralis, 2009, BioData Mining.

The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics

Jason H. Moore, Casey S. Greene, Jeff Kiralis, 2010, EvoBIO.

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

Jason H. Moore, Ryan J. Urbanowicz, Nicholas A. Sinnott-Armstrong, 2012, BioData Mining.

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

Ting Hu, Jason H. Moore, Angeline S. Andrew, 2011, BMC Bioinformatics.