 | 2011 |
| 18 |  | Casey S. Greene,
Olga G. Troyanskaya:
PILGRM: an interactive data-driven discovery platform for expert biologists.
Nucleic Acids Research 39(Web-Server-Issue): 368-374 (2011) |
| 2010 |
| 17 |  | Casey S. Greene,
Daniel S. Himmelstein,
Jeff Kiralis,
Jason H. Moore:
The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics.
EvoBIO 2010: 182-193 |
| 16 |  | Nadia M. Penrod,
Casey S. Greene,
Delaney Granizo-MacKenzie,
Jason H. Moore:
Artificial Immune Systems for Epistasis Analysis in Human Genetics.
EvoBIO 2010: 194-204 |
| 15 |  | Casey S. Greene,
Daniel S. Himmelstein,
Jason H. Moore:
A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships.
EvoBIO 2010: 74-85 |
| 14 |  | Nicholas A. Sinnott-Armstrong,
Casey S. Greene,
Jason H. Moore:
Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units.
GECCO 2010: 215-216 |
| 13 |  | Casey S. Greene,
Daniel S. Himmelstein,
Heather H. Nelson,
Karl Kelsey,
Scott M. Williams,
Angeline S. Andrew,
Margaret R. Karagas,
Jason H. Moore:
Enabling Personal Genomics with an Explicit Test of Epistasis.
Pacific Symposium on Biocomputing 2010: 327-336 |
| 12 |  | Casey S. Greene,
Jason H. Moore:
Solving Complex Problems in Human Genetics using Nature-Inspired Algorithms Requires Strategies which Exploit Domain-Specific Knowledge.
Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery 2010: 166-180 |
| 11 |  | Casey S. Greene,
Nicholas A. Sinnott-Armstrong,
Daniel S. Himmelstein,
Paul J. Park,
Jason H. Moore,
Brent T. Harris:
Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS.
Bioinformatics 26(5): 694-695 (2010) |
| 2009 |
| 10 |  | Casey S. Greene,
Douglas P. Hill,
Jason H. Moore:
An Open-Ended Computational Evolution Strategy for Evolving Parsimonious Solutions to Human Genetics Problems.
ECAL (1) 2009: 313-320 |
| 9 |  | Jason M. Gilmore,
Casey S. Greene,
Peter C. Andrews,
Jeff Kiralis,
Jason H. Moore:
An Analysis of New Expert Knowledge Scaling Methods for Biologically Inspired Computing.
ECAL (2) 2009: 286-293 |
| 8 |  | Casey S. Greene,
Jason M. Gilmore,
Jeff Kiralis,
Peter C. Andrews,
Jason H. Moore:
Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease.
EvoBIO 2009: 92-103 |
| 7 |  | Casey S. Greene,
Douglas P. Hill,
Jason H. Moore:
Environmental noise improves epistasis models of genetic data discovered using a computational evolution system.
GECCO 2009: 1785-1786 |
| 6 |  | Casey S. Greene,
Bill C. White,
Jason H. Moore:
Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming.
IEEE Congress on Evolutionary Computation 2009: 1289-1296 |
| 5 |  | Anna L. Tyler,
Bill C. White,
Casey S. Greene,
Paul C. Andrews,
R. Cowper-Sallari,
Jason H. Moore:
Development and evaluation of an open-ended computational evolution system for the creation of digital organisms with complex genetic architecture.
IEEE Congress on Evolutionary Computation 2009: 2907-2912 |
| 4 |  | Casey S. Greene,
Jeff Kiralis,
Jason H. Moore:
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 2009: 800-807 |
| 2008 |
| 3 |  | Casey S. Greene,
Bill C. White,
Jason H. Moore:
Ant Colony Optimization for Genome-Wide Genetic Analysis.
ANTS Conference 2008: 37-47 |
| 2 |  | Casey S. Greene,
Bill C. White,
Jason H. Moore:
Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming.
GECCO 2008: 351-352 |
| 2007 |
| 1 |  | Casey S. Greene,
Bill C. White,
Jason H. Moore:
An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming.
PRIB 2007: 30-40 |