Prediction of body mass index in mice using dense molecular markers and a regularized neural network

Genetics Research

Volumn 93, Issue 3, 2011, Pages 189-201

  Okut, Hayrettin ^a,b   Gianola, Daniel ^b,c   Rosa, Guilherme J M ^b,c   Weigel, Kent A ^b  

^a YUZUNCU YIL UNIVERSITY   (Turkey)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BODY MASS; GENE ACTIVITY; GENE FREQUENCY; GENOME; GENOTYPE; HAPLOTYPE; MOUSE; NONHUMAN; PERCEPTRON; PHENOTYPE; POSITIVE FEEDBACK; PREDICTION; QUANTITATIVE TRAIT; SINGLE NUCLEOTIDE POLYMORPHISM; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; GENETIC MARKER; GENETICS; PREDICTIVE VALUE;

ANIMALIA; MUS;

GENETIC MARKER;

ALGORITHMS; ANIMALS; BAYES THEOREM; BODY MASS INDEX; GENETIC MARKERS; GENOME; MICE; MODELS, GENETIC; NEURAL NETWORKS (COMPUTER); POLYMORPHISM, SINGLE NUCLEOTIDE; PREDICTIVE VALUE OF TESTS;

EID: 79959599369     PISSN: 00166723     EISSN: 14695073     Source Type: Journal    
DOI: 10.1017/S0016672310000662     Document Type: Article

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