Evaluation of Genomic Prediction Accuracy in Different Genomic Architectures of Quantitative and Threshold Traits with the Imputation of Simulated Genomic Data using Random Forest Method
Author(s) -
Yousef Naderi
Publication year - 2018
Publication title -
research on animal production
Language(s) - English
Resource type - Journals
eISSN - 2676-461X
pISSN - 2251-8622
DOI - 10.29252/rap.9.20.129
Subject(s) - imputation (statistics) , random forest , genomic selection , computational biology , computer science , biology , artificial intelligence , statistics , data mining , genetics , mathematics , machine learning , gene , single nucleotide polymorphism , missing data , genotype
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