Hubbell Earl, Liu Wei-Min, Mei Rui
Affymetrix, 3380 Central Expressway, Santa Clara, CA 95051, USA.
Bioinformatics. 2002 Dec;18(12):1585-92. doi: 10.1093/bioinformatics/18.12.1585.
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.
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.
我们考虑从寡核苷酸阵列估计与基因表达相关的值的问题。此类估计应线性跟踪浓度，产生非负结果，具有针对异常值的稳健性的统计保证，并允许估计显著性和方差。
使用简单模型的层次结构来设计满足独立实验和比较实验这些目标的稳健估计器。该算法已针对大量已知的加标实验进行了验证，并且显示出与现有标准相当的性能。
