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Volumn , Issue , 2009, Pages 1785-1786

Environmental noise improves epistasis models of genetic data discovered using a computational evolution system

Author keywords

Computational evolution; Genetics; Noise

Indexed keywords

ARTIFICIAL EVOLUTION; BIOLOGICAL PROCESS; COMPACT SOLUTIONS; DATA SETS; DISCRETE MEASURE; DNA SEQUENCE VARIATIONS; ECOLOGICAL SYSTEMS; ENVIRONMENT CHANGE; ENVIRONMENTAL NOISE; EVOLUTION SYSTEMS; FITNESS EVALUATIONS; GENERAL SOLUTIONS; GENETIC DATA; GENETIC VARIATION; HUMAN DISEASE; HUMAN GENETICS; HUMAN POPULATION; MACHINE LEARNING METHODS; NONLINEAR INTERACTIONS; SMALL PERTURBATIONS; TRAINING DATA;

EID: 72749125627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1569901.1570160     Document Type: Conference Paper
Times cited : (3)

References (12)
  • 3
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    • How neutral networks influence evolvability
    • M. Ebner, M. Shackleton, and R. Shipman. How neutral networks influence evolvability. Complex., 7(2):19-33, 2001.
    • (2001) Complex , vol.7 , Issue.2 , pp. 19-33
    • Ebner, M.1    Shackleton, M.2    Shipman, R.3
  • 4
    • 0029791455 scopus 로고    scopus 로고
    • Exploring phenotype space through neutral evolution
    • M. Huynen. Exploring phenotype space through neutral evolution. Journal of Molecular Evolution, 43(3):165-169, 1996.
    • (1996) Journal of Molecular Evolution , vol.43 , Issue.3 , pp. 165-169
    • Huynen, M.1
  • 6
    • 47249135052 scopus 로고    scopus 로고
    • Development and evaluation of an open-ended computational evolution system for the genetic analysis of susceptibility to common human diseases
    • J. Moore, P. Andrews, N. Barney, and B. White. Development and evaluation of an open-ended computational evolution system for the genetic analysis of susceptibility to common human diseases. Lecture Notes in Computer Science, 4973:129-140, 2008.
    • (2008) Lecture Notes in Computer Science , vol.4973 , pp. 129-140
    • Moore, J.1    Andrews, P.2    Barney, N.3    White, B.4
  • 7
    • 0345411335 scopus 로고    scopus 로고
    • The ubiquitous nature of epistasis in determining susceptibility to common human diseases
    • J. H. Moore. The ubiquitous nature of epistasis in determining susceptibility to common human diseases. Human Heredity, 56:73-82, 2003.
    • (2003) Human Heredity , vol.56 , pp. 73-82
    • Moore, J.H.1
  • 9
    • 72749098014 scopus 로고    scopus 로고
    • Does complexity matter? artificial evolution, computational evolution and the genetic analysis of epistasis in common human diseases
    • Springer
    • J. H. Moore, C. S. Greene, P. C. Andrews, and B. C. White. Does complexity matter? artificial evolution, computational evolution and the genetic analysis of epistasis in common human diseases. In Genetic Programming Theory and Practice VI, pages 125-143. Springer, 2009.
    • (2009) Genetic Programming Theory and Practice VI , pp. 125-143
    • Moore, J.H.1    Greene, C.S.2    Andrews, P.C.3    White, B.C.4
  • 10
    • 0035992220 scopus 로고    scopus 로고
    • Symbolic discriminant analysis of microarray data in autoimmune disease
    • J. H. Moore, J. S. Parker, N. J. Olsen, and T. Aune. Symbolic discriminant analysis of microarray data in autoimmune disease. Genetic Epidemiology, 23:57-69, 2002.
    • (2002) Genetic Epidemiology , vol.23 , pp. 57-69
    • Moore, J.H.1    Parker, J.S.2    Olsen, N.J.3    Aune, T.4
  • 11
    • 38049086193 scopus 로고    scopus 로고
    • Genome-wide genetic analysis using genetic programming: The critical need for expert knowledge
    • J. H. Moore and B. C. White. Genome-wide genetic analysis using genetic programming: The critical need for expert knowledge. Genetic Programming Theory and Practice IV, 2007.
    • (2007) Genetic Programming Theory and Practice IV
    • Moore, J.H.1    White, B.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.