R statistical tools for gene discovery.
R statistical tools for gene discovery.
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用于基因发现的 R 统计工具。
DOI：
10.1007/978-1-61779-176-5_5
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Au,Kinman
中科院分区：
文献类型：
--
作者：
Foulkes,AndreaS;Au,Kinman
A wide assortment of R tools are available for exploratory data analysis in high-dimensional settings and are easily applicable to data arising from population-based genetic association studies. In this chapter we illustrate the application of three such approaches, namely conditional inference trees, random forests, and logic regression. Through applications to simulated data, we explore the relative utility of each approach for uncovering underlying association between genetic polymorphisms and a quantitative trait.
