AutoDecon, a deconvolution algorithm for identification and characterization of luteinizing hormone secretory bursts:: Description and validation using synthetic data
AutoDecon, a deconvolution algorithm for identification and characterization of luteinizing hormone secretory bursts:: Description and validation using synthetic data
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DOI：
10.1016/j.ab.2008.07.001
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发表时间：
2008-10-01
影响因子：
2.9
通讯作者：
Evans, William S.
中科院分区：
文献类型：
--
作者：
Johnson, Michael L.;Pipes, Lenore;Evans, William S.
激素信号通常是脉动的，并且多参数去卷积程序长期以来被用于识别和表征分泌事件。然而，现有的程序存在严重的局限性，包括初始峰值选择的主观性、缺乏对假定突发的统计验证以及应用程序的用户不友好性。在这里，我们描述了一种新的反卷积程序，AutoDecon，它解决了这些问题。我们验证AutoDecon应用于血清促黄体生成激素（LH）浓度时间序列的合成数据模仿正常妇女的真实的数据，然后比较AutoDecon的性能与广泛采用的激素脉动分析程序集群的性能。AutoDecon的灵敏度高于Cluster（类似于96% vs. 80%，P = 0.001），然而，Cluster的假阳性检出率低于AutoDecon（6% vs. 1%，P = 0.001进一步分析表明，AutoDecon恢复的脉动参数与表征合成数据的脉动参数无法区分，min间隔是最佳的最大化的敏感率LH。因此，AutoDecon为LH数据分析提供了一种可行的非主观替代方案，可替代先前的脉搏检测算法。它适用于其他脉动激素浓度锡威系列和许多其他脉动现象。该软件是免费的，可在http://mljohnson.pharm.virginia.edu/home.html下载。(c)2008年爱思唯尔公司All rights reserved.
Hormone signaling is often pulsatile, and multiparameter deconvolution procedures have long been used to identify and characterize secretory events. However, the existing programs have serious limitations, including the subjective nature of initial peak selection, lack of statistical verification of presumed bursts, and user-unfriendliness of the application. Here we describe a novel deconvolution program, AutoDecon, which addresses these concerns. We validate AutoDecon for application to serum luteinizing hormone (LH) concentration time series using synthetic data mimicking real data from normal women and then comparing the performance of AutoDecon with the performance of the widely employed hormone pulsatility analysis program Cluster. The sensitivity of AutoDecon is higher than that of Cluster (similar to 96% vs. 80%, P = 0.001 However, Cluster had a lower false-positive detection rate than did AutoDecon (6% vs. 1%, P = 0.001 Further analysis demonstrated that the pulsatility parameters recovered by AutoDecon were indistinguishable from those characterizing the synthetic data and that sampling at 5- or 10-min intervals was optimal for maximizing the sensitivity rates for LH. Accordingly, AutoDecon presents a viable nonsubjective alternative to previous pulse detection algorithms for the analysis of LH data. it is applicable to other pulsatile hormone concentration tin-we series and many other Pulsatile phenomena. The software is free and downloadable at http://mljohnson.pharm.virginia.edu/home.html. (c) 2008 Elsevier Inc. All rights reserved.