机译:利用多特征基因组残差最大似然和多任务贝叶斯变量选择进行多基因组预测
Wageningen University & Research, Animal Breeding and Genomics;
Faculty of Veterinary and Agricultural Science, University of Melbourne,Agriculture Research, Department of Economic Development, Jobs, Transport and Resources;
Wageningen University & Research, Animal Breeding and Genomics;
Agriculture Research, Department of Economic Development, Jobs, Transport and Resources,School of Applied Systems Biology, La Trobe University;
School of Applied Systems Biology, La Trobe University,Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland;
genomic prediction; multibreed; Bayesian variable selection;
机译:基于拆分合并贝叶斯变量选择的全基因组序列数据的高效基因组预测
机译:在整个人口基因组预测方案中,贝叶斯变量选择优于GBLUP
机译:在整个人口基因组预测方案中,贝叶斯变量选择优于GBLUP
机译:非线性支持向量机的联合贝叶斯变量选择和图估计在基因组学数据中的应用
机译:用于基因组选择和全基因组关联研究的随机限制性最大似然方法
机译:贝叶斯考克斯模型中多个基因组数据源的集成用于变量选择和预测
机译:多雷化基因组预测使用多焦质基因组残留最大可能性和多任务贝叶斯变量选择