Environmental Sensing of Expert Knowledge in a Computational Evolution System for Complex Problem Solving in Human Genetics

[1]  J H Moore,et al.  From genotypes to genometypes: putting the genome back in genome-wide association studies , 2009, European Journal of Human Genetics.

[2]  Bill C. White,et al.  Does Complexity Matter? Artificial Evolution, Computational Evolution and the Genetic Analysis of Epistasis in Common Human Diseases. , 2009 .

[3]  Jason H. Moore,et al.  Genome-Wide Analysis of Epistasis Using Multifactor Dimensionality Reduction: Feature Selection and Construction in the Domain of Human Genetics , 2009 .

[4]  Jason H. Moore,et al.  Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases , 2008, EvoBIO.

[5]  Jason H. Moore,et al.  An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming , 2007, PRIB.

[6]  Scott M. Williams,et al.  A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction , 2007, Genetic epidemiology.

[7]  Jason H. Moore,et al.  Tuning ReliefF for Genome-Wide Genetic Analysis , 2007, EvoBIO.

[8]  Jiang Gui,et al.  Symbolic Modeling of Epistasis , 2007, Human Heredity.

[9]  Jason H. Moore,et al.  Genome-Wide Genetic Analysis Using Genetic Programming: The Critical Need for Expert Knowledge , 2007 .

[10]  Jason H. Moore,et al.  Exploiting Expert Knowledge in Genetic Programming for Genome-Wide Genetic Analysis , 2006, PPSN.

[11]  J. Miller,et al.  Guidelines: From artificial evolution to computational evolution: a research agenda , 2006, Nature Reviews Genetics.

[12]  Rick L. Riolo,et al.  Genetic Programming Theory and Practice XIX , 2008, Genetic and Evolutionary Computation.

[13]  Scott M. Williams,et al.  Traversing the conceptual divide between biological and statistical epistasis: systems biology and a more modern synthesis. , 2005, BioEssays : news and reviews in molecular, cellular and developmental biology.

[14]  Jonathan L Haines,et al.  Genetics, statistics and human disease: analytical retooling for complexity. , 2004, Trends in genetics : TIG.

[15]  Alex Alves Freitas,et al.  Understanding the Crucial Role of Attribute Interaction in Data Mining , 2001, Artificial Intelligence Review.

[16]  Jason H. Moore,et al.  The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases , 2003, Human Heredity.

[17]  John R. Koza,et al.  Genetic Programming IV: Routine Human-Competitive Machine Intelligence , 2003 .

[18]  Jason H. Moore,et al.  Power of multifactor dimensionality reduction for detecting gene‐gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity , 2003, Genetic epidemiology.

[19]  Terence Soule,et al.  Genetic Programming: Theory and Practice , 2003 .

[20]  David Corne,et al.  Evolutionary Computation In Bioinformatics , 2003 .

[21]  Lee Spector,et al.  An Essay Concerning Human Understanding of Genetic Programming , 2003 .

[22]  Dr. Alex A. Freitas.  Data Mining and Knowledge Discovery with Evolutionary Algorithms , 2002, Natural Computing Series.

[23]  Jason H. Moore,et al.  Symbolic discriminant analysis of microarray data in autoimmune disease , 2002, Genetic epidemiology.

[24]  Riccardo Poli,et al.  Foundations of Genetic Programming , 1999, Springer Berlin Heidelberg.

[25]  J. H. Moore,et al.  Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. , 2001, American journal of human genetics.

[26]  Bruce Edmonds,et al.  Meta-Genetic Programming: Co-evolving the Operators of Variation , 2001 .

[27]  Wentian Li,et al.  A Complete Enumeration and Classification of Two-Locus Disease Models , 1999, Human Heredity.

[28]  J. R. Koza,et al.  Darwinian invention and problem solving by means of genetic programming , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[29]  Giandomenico Spezzano,et al.  A Cellular Genetic Programming Approach to Classification , 1999, GECCO.

[30]  Daniel E. Goldberg.  The design of innovation: Lessons from genetic algorithms , 1998 .

[31]  Peter Nordin,et al.  Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications , 1998 .

[32]  W. B. Langdon,et al.  Genetic Programming and Data Structures , 1998, The Springer International Series in Engineering and Computer Science.

[33]  J. Ott,et al.  Neural network analysis of complex traits , 1997, Genetic epidemiology.

[34]  John R. Koza,et al.  Genetic programming 2 - automatic discovery of reusable programs , 1994, Complex adaptive systems.

[35]  Timothy Perkis,et al.  Stack-based genetic programming , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[36]  Igor Kononenko,et al.  Estimating Attributes: Analysis and Extensions of RELIEF , 1994, ECML.

[37]  J. K. Kinnear,et al.  Advances in Genetic Programming , 1994 .

[38]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[39]  Larry A. Rendell,et al.  A Practical Approach to Feature Selection , 1992, ML.

[40]  G. Mendel,et al.  Mendel's Principles of Heredity , 1910, Nature.