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Influence of allele frequency on predicting animal phenotype using back-propagation artificial neural networks
Authors:Xuebin Li  Xiaoling Yu  Yunrui Guo  Zhifeng Xiang  Kun Zhao  Fei Ren
Institution:LI Xuebin,YU Xiaoling,GUO Yunrui,XIANG Zhifeng,ZHAO Kun,REN Fei College of Animal Science,Henan Institute of Science and Technology,Xinxiang 453003,Henan,China
Abstract:To overcome the obstacle of the fascinating relation in predicting animal phenotype value, we have developed a neural network model to detect the complex non-linear relationships between the genotypes and phenotypes and the possible interactions that cannot be expressed with equations. In this paper, back-propagation neural network is used to discuss the influences of different allele frequencies on estimating the polygenic phenotype value. To ensure the precision of prediction, normalization was needed to ...
Keywords:artificial neural network  single-nucleotide polymorphism (SNP)  HapMap project  genomic breeding value  molecular marker  allele frequency  
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