Robust estimators for expression analysis
Robust estimators for expression analysis
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DOI：
10.1093/bioinformatics/18.12.1585
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发表时间：
2002-12-01
期刊：
影响因子：
5.8
通讯作者：
Mei, R
中科院分区：
文献类型：
--
作者：
Hubbell, E;Liu, WM;Mei, R
动机：我们考虑的问题，估计值与寡核苷酸阵列的基因表达。这种估计应线性跟踪浓度，产生非负的结果，对离群值的稳健性有统计保证，并允许估计的显着性和variance.Results：层次结构的简单模型是用来设计强大的估计，满足这些目标的独立和比较实验。该算法已被验证对一个广泛的面板已知的尖峰实验，并显示出与现有标准相当的性能。
Motivation: We consider the problem of estimating values associated with gene expression from oligonucleotide arrays. Such estimates should linearly track concentration, yield non-negative results, have statistical guarantees of robustness against outliers, and allow estimates of significance and variance.Results: A hierarchy of simple models is used to design robust estimators meeting these goals for both stand alone and comparative experiments. This algorithm has been validated against an extensive panel of known spike experiments, and shows comparable performance to existing standards.