Nonlinear modeling of protein expressions in protein arrays
Nonlinear modeling of protein expressions in protein arrays
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DOI：
10.1109/tsp.2006.873719
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发表时间：
2006-06-01
影响因子：
5.4
通讯作者：
Astola, Jaakko
中科院分区：
文献类型：
--
作者：
Tabus, Ioan;Hategan, Andrea;Astola, Jaakko
本文讨论了从蛋白质阵列获得的测量值估计蛋白质的表达或浓度的问题，并说明了裂解物微阵列数据的方法。我们设计了一些算法，用于估计高度非线性的校准曲线，以及几个家庭的参数模型。浓度本身。模型族包括校准曲线的多项式和S形非线性以及噪声的同方差或异方差模型。在模拟数据上测试估计方法的准确性，并将其应用于真实的裂解物阵列数据。结果通常是非常好的，提供了强非线性模型的使用。
This paper addresses the problem of estimating the expressions or concentrations of proteins from measurements obtained from protein arrays and illustrates the methodology on lysate microarray data. With several families of parametric models we design a number of algorithms for the estimation of a highly nonlinear calibration curve as well as the. concentrations themselves. The model families include polynomial and sigmoidal nonlinearities for the calibration curve and homoscedastic or heteroscedastic models for the noise. The accuracy of the estimation methods is tested on simulated data and applied to real lysate array data. The results are generally very good, provided that strongly nonlinear models are used.