A multistep protein lysate array quantification method and its statistical properties.
A multistep protein lysate array quantification method and its statistical properties.
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多步蛋白质裂解物阵列定量方法及其统计特性。
DOI：
10.1111/j.1541-0420.2011.01567.x
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发表时间：
2011
期刊：
影响因子：
1.9
通讯作者：
He,Xuming
中科院分区：
文献类型：
--
作者：
Yang,Ji-Yeon;He,Xuming
蛋白质裂解物阵列是用于定量多个生物样品中的蛋白质浓度比的新兴技术。统计推断的参数量化程序已在文献中没有得到充分解决，主要是因为适当的渐近理论涉及的问题，参数的数量增加的观察。在这篇文章中，我们开发了一个多步骤的过程中的Sigmoidal模型，确保一致的估计的浓度水平与充分的渐近效率。在文章中得到的结果证明推理程序的基础上大样本近似。仿真研究和真实的数据分析的文章被用来说明所提出的方法在有限样本的性能。多步骤的过程是方便的渐近工作，并建议其在蛋白质浓度估计的统计效率和改善的数值稳定性，专注于优化低维目标函数。
The protein lysate array is an emerging technology for quantifying the protein concentration ratios in multiple biological samples. Statistical inference for a parametric quantification procedure has been inadequately addressed in the literature, mainly because the appropriate asymptotic theory involves a problem with the number of parameters increasing with the number of observations. In this article, we develop a multistep procedure for the Sigmoidal models, ensuring consistent estimation of the concentration levels with full asymptotic efficiency. The results obtained in the article justify inferential procedures based on large sample approximations. Simulation studies and real data analysis are used in the article to illustrate the performance of the proposed method in finite samples. The multistep procedure is convenient to work with asymptotically, and is recommended for its statistical efficiency in protein concentration estimation and improved numerical stability by focusing on optimization of lower-dimensional objective functions.