An adaptive threshold determination method of feature screening for genomic selection
作者: Guifang FuGang WangXiaotian Dai
作者单位: 1Utah State University
刊名: BMC Bioinformatics, 2017, Vol.18 (1)
来源数据库: Springer Nature Journal
DOI: 10.1186/s12859-017-1617-9
关键词: Genomic selectionFeature screeningBackward eliminationFRIGIDA expression
英文摘要: Although the dimension of the entire genome can be extremely large, only a parsimonious set of influential SNPs are correlated with a particular complex trait and are important to the prediction of the trait. Efficiently and accurately selecting these influential SNPs from millions of candidates is in high demand, but poses challenges. We propose a backward elimination iterative distance correlation (BE-IDC) procedure to select the smallest subset of SNPs that guarantees sufficient prediction accuracy, while also solving the unclear threshold issue for traditional feature screening approaches.
原始语种摘要: Although the dimension of the entire genome can be extremely large, only a parsimonious set of influential SNPs are correlated with a particular complex trait and are important to the prediction of the trait. Efficiently and accurately selecting these influential SNPs from millions of candidates is in high demand, but poses challenges. We propose a backward elimination iterative distance correlation (BE-IDC) procedure to select the smallest subset of SNPs that guarantees sufficient prediction accuracy, while also solving the unclear threshold issue for traditional feature screening approaches.
全文获取路径: Springer Nature  (合作)
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来源刊物:
影响因子:3.024 (2012)

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关键词翻译
关键词翻译
  • selection 选择
  • influential 有影响的
  • smallest 最小的
  • screening 筛分
  • feature 结构元件
  • method 方法
  • threshold 阈值
  • demand 需用电力
  • elimination 排出
  • solving 求解