What do artificial neural networks tell us about the genetic structure of populations? The example of European pig populations

Genetics Research

Volumn 91, Issue 2, 2009, Pages 121-132

  Nikolic, Natacha ^a   Park, Young Seuk ^b   Sancristobal, Magali ^a   Lek, Sovan ^c   Chevalet, Claude ^a  

^a CEMAGREF   (France)

^b Kyung Hee University   (South Korea)

^c CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BREED; CLASSIFICATION; EUROPE; FACTORIAL ANALYSIS; GENE FREQUENCY; GENETIC DISTANCE; GENETIC MODEL; GENETIC VARIABILITY; MICROSATELLITE MARKER; NONHUMAN; POPULATION GENETICS; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL ANALYSIS; SWINE;

ANIMALS; CHINA; CLUSTER ANALYSIS; EUROPE; GENETIC STRUCTURES; GENETIC VARIATION; GENETICS, POPULATION; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); PHYLOGENY; SPECIES SPECIFICITY; SUS SCROFA;

SUIDAE; SUS SCROFA;

EID: 70349254645     PISSN: 00166723     EISSN: 14695073     Source Type: Journal    
DOI: 10.1017/S0016672309000093     Document Type: Article

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