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Robust Gene Expression Index

机译:稳健的基因表达指数

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摘要

The frequentist gene expression index (FGX) was recently developed to measure expression on Affymetrix oligonucleotide DNA arrays. In this study, we extend FGX to cover nonnormal log expressions, specifically long-tailed symmetric densities and call our new index as robust gene expression index (RGX). In estimation, we implement the modified maximum likelihood method to unravel the elusive solutions of likelihood equations and utilize the Fisher information matrix for covariance terms. From the analysis via the bench-mark datasets and simulated data, it is shown that RGX has promising results and mostly outperforms FGX in terms of relative efficiency of the estimated signals, in particular, when the data are nonnormal.
机译:最近开发了常人基因表达指数(FGX),用于测量Affymetrix寡核苷酸DNA阵列上的表达。在这项研究中,我们将FGX扩展到涵盖非正态对数表达,特别是长尾对称密度,并将我们的新索引称为稳健基因表达索引(RGX)。在估计中,我们实施了改进的最大似然法,以解开似然方程的可解,并利用Fisher信息矩阵作为协方差项。通过基准数据集和模拟数据进行的分析表明,RGX具有可观的结果,并且在估计信号的相对效率方面,尤其是在数据不正常的情况下,其性能通常优于FGX。

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